Data scientist jobs in Mack, OH

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Offer: Profile:

The Medpace Analytics and Business Intelligence team is growing rapidly and is focused on building a data driven culture across the enterprise. The BI team uses data and insights to drive increased strategic and operational efficiencies across the organization. As a Business Intelligence Analyst, you will hold a highly visible analytical role that requires interaction and partnership with leadership across the Medpace organization. What's in this for you? * Work in a collaborative, fast paced, entrepreneurial, and innovative workplace; * Gain experience and exposure to advanced BI concepts from visualization to data warehousing; * Grow business knowledge by working with leadership across all aspects of Medpace's business. Responsibilities What's involved? We are looking for a Junior Business Intelligence Analyst to add additional depth to our growing Analytical team in a variety of areas - from Visualization and Storytelling to SQL, Data Modeling, and Data Warehousing. This role will work in close partnership with leadership, product management, operations, finance, and other technical teams to find opportunities to improve and expand our business. An ideal candidate in this role will apply great analytical skills, communication skills, and problem-solving skills to continue developing our analytics & BI capabilities. We are looking for team members who thrive in working with complex data sets, conducting deep data analysis, are intensely curious, and enjoy designing and developing long-term solutions. What you bring to the table - and why we need you! * Data Visualization skills - Designing and developing key metrics, reports, and dashboards to drive insights and business decisions to improve performance and reduce costs; * Technical Skills - either experience in, or strong desire to learn fundamental technical skills needed to drive BI initiatives (SQL, DAX, Data Modeling, etc.); * Communication Skills - Partner with leadership and collaborate with software engineers to implement data architecture and design, to support complex analysis; * Analytical Skills - Conduct complex analysis and proactively identify key business insights to assist departmental decision making. Qualifications * Bachelor's Degree in Business, Life Science, Computer Science, or Related Degree; * 0-3 years of experience in business intelligence or analytics - Python & R heavily preferred * Strong analytical and communication skills; * Excellent organization skills and the ability to multitask while efficiently completing high quality work. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

Thank you for considering a career at Ensemble Health Partners! Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Thank you for considering a career at Ensemble Health Partners! Healthcare impacts each of us, yet the current system remains fundamentally broken. Many of us have seen loved ones face the devastating challenge of unaffordable care. At Ensemble, we are committed to changing this reality by driving down healthcare costs and eliminating obstacles, creating a system that truly puts people first, last, and always. We are dedicated to revolutionizing healthcare with cutting-edge, technology-enabled revenue cycle management solutions for health systems. We're here to solve how to reduce the friction and improve the cost of healthcare for better client and patient outcomes. As a leader in revenue technology, Ensemble is redefining what is possible in healthcare through innovation, purpose and human-centered solutions. We offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Why do we do what we do? It's all about our O.N.E Purpose: Our commitment to transforming healthcare goes beyond technology and innovation. It's rooted in a purpose-driven approach that emphasizes customer obsession, embraces new ideas, and strives for excellence-principles that define our O.N.E Purpose and inspire everything we do. Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Enabling healthcare professionals with technological solutions is key to the future of healthcare, and at Ensemble, we are solving problems in healthcare with AI. Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners to leverage the superpower of AI to solve some of the most complex problems in healthcare. Why Join Us? People First, Last + Always: At Ensemble, we prioritize people over processes, valuing your contributions, supporting your growth and enabling you to make a difference every day. Make a Difference with Purposeful Work: By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience. Innovate Boldly in a Dynamic Environment: Thrive in a dynamic, entrepreneurial culture within an organization that champions creativity and groundbreaking ideas. Shape the Future of Healthcare Across a Robust Client Base: Drive change across a vast client base, empowering healthcare systems at an unprecedented pace. When you innovate here, the ripple effect is enormous. Technology-Driven Innovation: Since 2021, our patented innovations and EIQ has reshaped healthcare through cutting-edge innovation. Job Summary Take on a pivotal role in addressing healthcare's toughest challenges with advanced AI solutions. As a Senior Data Scientist, you'll build AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. predictive analytics. Your work will enable hospitals and health systems to operate more efficiently and deliver better patient outcomes. The successful Senior Data Scientist candidate will work closely with business and product owners to understand their data requirements and product specification in order to help them make data-related decisions and product design choices. The role will also require close work with software engineers and developers to deliver solutions. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills. You should have practical experience in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Essential Job Functions Frequent travel may be required Lead AI strategy by delivering solutions that combine software engineering, statistics, and machine learning effectively for complex clinical applications. Execute deep, thoughtful, analytical experiments that utilize the most appropriate techniques and lead to substantial incremental improvements. Deliver excellent reports and presentations to highlight relevant hypothesis and insights that drive decision making within the organization. Identify, collect, transform and explore data to become the resident expert on available data within the organization. Coordinate between Engineers and Product Analysts and the broader organization to facilitate seamless collaboration. Other Preferred Knowledge, Skills and Abilities Ability to travel as needed 3+ years experience working in data scientist capacity. PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. 3+ years' experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. Statistical Analysis: Proficiency in statistical techniques and tools. Machine Learning: Knowledge of machine learning algorithms and their applications. Programming: Strong programming skills (e.g., Python, R, or SQL). Data Visualization: Ability to create meaningful visualizations. Ability to design, implement, test and deploy Machine Learning models. Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. Ability to work both independently and in a team-based, fast-paced environment. Excellent communication skills, both written and verbal. Desired Work Experience 5 to 7 Years Desired Education Post Graduate Degree or Equivalent Experience CAREER OPPORTUNITY OFFERING: Bonus Incentives Paid Certifications Tuition Reimbursement Comprehensive Benefits Career Advancement This position pays between $83,200 - $159,450 based on experience #LI-MT1 #LI-Remote Join an award-winning company Five-time winner of “Best in KLAS” 2020-2022, 2024-2025 Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024 Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024 Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023 Energage Top Workplaces USA 2022-2024 Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024 Innovation Work-Life Flexibility Leadership Purpose + Values Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include: Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation. Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories. Ensemble Health Partners provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact *****************. This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range. EEOC - Know Your Rights FMLA Rights - English La FMLA Español E-Verify Participating Employer (English and Spanish) Know your Rights

This internship is an opportunity to gain experience in analytics and automation on Ameritas' reinsurance team. The intern will gain practical experience with analysis, programing, testing, and implementation of metrics and data visualization tools. Position Location: This is a hybrid role (Cincinnati, OH) working partially in-office and partially from home. Position Start Date: This internship will begin in May 2026. What you do: Gain practical experience with analysis, programing, testing, and implementation of metrics and data visualization tools. This internship will provide exposure to the following functions and duties: Business Systems Administration: Assist with identifying solutions to gather and present data Support partners in their ability to leverage metric and metric solutions to measure and improve performance as well as drive decision making Support simple to complex metric gathering Operations Analysis: Support the development and continuous improvement of operational business metrics that help define and measure the performance of all processes associated with Reinsurance Operations. Assess and improve operational processes in the Reinsurance Operations space. Investigating defects or errors in the technology. What you bring: Must be enrolled in a college program at least half-time as defined by your institution for the entire duration of the internship studying computer science, data analytics or related field. Ability to commit to a 12-month internship working full-time during the summer and part-time during the school year. Full-time hours: 30-40 hours per week Part-time hours: 15-20 hours per week Experience in Excel, Python, SQL, and/or Power Query/Power Pivot is desired. Strong analytical, problem solving, and troubleshooting skills Ability to work independently and within a team to build relationships and interact effectively Positive, self-motivated individual with a high level of enthusiasm and willingness to take on new challenges, responsibilities, and assignments. Self-starter with a real drive for impact and a naturally curious demeanor Excellent verbal and written communications skills What we offer: At Ameritas, our mission is Fulfilling Life. We do that in many ways, but especially by helping people invest in themselves by offering trusted financial products and advice. Because we believe everyone should be happy, healthy, and financially secure, we work hard to provide trusted financial products and valued guidance, including individual life and disability insurance, employee benefits, retirement planning, investments, and wealth management services. Our company motto is “Fulfilling Life” and we take that job seriously, with a heavy commitment to volunteering and community support, employee well-being, and providing quality products and services that help our customers create a brighter future. Being a mutual-based organization, the return on our investment goes back into the company, to benefit our members/customers. We're committed to professional development, opportunity, inclusion, and diversity. Team building and collaboration are also priorities. An Equal Opportunity Employer Ameritas has a reputation as a company that cares, and because everyone should feel safe bringing their authentic, whole self to work, we're committed to an inclusive culture and diverse workplace, enriched by our individual differences. We are an Equal Opportunity/Affirmative Action Employer that hires based on qualifications, positive attitude, and exemplary work ethic, regardless of sex, race, color, national origin, religion, age, disability, veteran status, genetic information, marital status, sexual orientation, gender identity or any other characteristic protected by law.

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________ SENIOR DATA SCIENTIST (P1580) CINCINNATI, OHIO OR CHICAGO, ILLINOIS SUMMARY: We are a community of data scientists that act as the voice of the customer - they share their story with us each and every day. Through simple, comprehensive, purposeful analytics, we fearlessly bring these customer stories and journeys to life. Our 360° customer view allows us to anticipate customer needs, thus enabling our clients to connect with their customers in meaningful, relevant ways. We expect all data scientists to be hands on with respects to the analysis of a retailer database, using the full suite of 84.51° technical tools - including Python, SQL, Excel, and other internal tools - to create timely, relevant, and actionable insights. The Loyalty Strategy & Rewards (LSR) team is accountable for Kroger's current loyalty program and defining evolution to the future loyalty program. The LSR data science team supports this work by providing measurements and insights that equip the business to connect with members, drive valuable behavior change, and grow emotional loyalty with Kroger. RESPONSIBILITIES: Working with business partners to support Kroger's Loyalty Program, inclusive of Free Tier (Kroger Plus, Fuel Points, and Kroger Plus 2.0) and Boost Paid Tier. Generating actionable insights and data to drive business decisions, including measurement of paid tier and free tier loyalty initiatives. Effectively managing projects, tasks and stakeholders to ensure that projects are delivered on time, within budget and to brief specification while ensuring minimal downtime and maximum utilization. Partnering with 84.51° Product & Engineering, as well as KTD partners. Quality Assurance of own code and that of team members to ensure the highest quality work is being delivered to our clients. Identifying opportunities for standardization & automation of existing solutions and processes to enable 84.51° to realize the maximum potential from our teams and free up capacity for innovation. Challenging and improving 84.51° analytical capabilities/products. Working closely with key internal stakeholders to ensure sound knowledge of client objectives and customer insight, to subsequently design best-in-class solutions. QUALIFICATIONS, SKILLS, AND EXPERIENCE: Bachelor's or Master's degree in mathematics, statistics, analytics, data science or related discipline. 2+ years of experience applying data science, statistical learning, or AI to solve complex business problems. 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions, and presenting findings and recommendations to clients or stakeholders. Data visualization and BI skills + ability to present technical solutions to non-technical audience. Experience partnering with consulting teams to prioritize, scope and deliver analytical solutions. Strong interpersonal and communication skills - including excellent verbal, written, presentation and consultation skills. Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary. Excellent attention to detail, organizational skills and ability to work in a collaborative environment. Strong analytical and problem-solving skills paired with business acumen and interest in grocery loyalty. Natural curiosity that welcomes and embraces change and willingness to try new things and to fail. #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range$97,000-$166,750 USD

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow. At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best. Join our Predictive Analytics team within the Business Data & Analytics department! opportunity to work within a highly collaborative team of data professionals focused on solving critical business challenges in the insurance industry. The roles emphasize intellectual growth, innovation, and the practical application of cutting-edge AI technologies to drive business value. Great American Insurance Group is committed to fostering professional growth through exposure to emerging technologies, cross-functional collaboration, and opportunities to contribute to strategic AI initiatives that shape the future of the insurance industry. This position is located in our Cincinnati office and will work on a hybrid schedule. Essential Job Functions and Responsibilities Leads the analysis of large, complex datasets to identify advanced trends, patterns, and strategic opportunities Architects and leads the design, development, and deployment of sophisticated predictive models for underwriting, pricing, claims, and customer retention Serves as technical lead for advanced LLM implementations, including custom transformer architectures, advanced fine-tuning strategies, and novel generative AI applications Designs and implements complex RAG and Agentic systems with multi-modal capabilities and advanced reasoning Designs and develops evaluation pipelines to assess the quality and effectiveness of Generative AI outputs Leads Vision Language Model initiatives and advanced computer vision projects using OpenCV and cutting-edge Vision AI technologies Mentors junior data scientists and provides technical guidance on complex modeling projects Drives innovation by exploring new data sources, advanced modeling techniques, and emerging AI technologies Collaborates with senior leadership and cross-functional teams to translate complex business challenges into scalable AI solutions Designs and implements enterprise-level data pipelines and automated reporting tools Establishes model governance frameworks and ensures compliance with regulatory requirements Communicates complex technical concepts and strategic recommendations to C-level executives through compelling presentations Monitors and optimizes model performance across the enterprise and ensures data quality at scale May have responsibility for performance coaching of staff and participatory role in talent selection and development Drives AI strategy and roadmap development for the Predictive Analysis team Performs other duties as assigned Job Requirements Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Statistics, or related quantitative field required. Master's or PhD in related field strongly preferred. Experience: 5-6 years of progressive experience in data science and machine learning, with at least 2 years leading complex AI/ML projects and mentoring junior team members. Required Technical Skills: Advanced Generative AI & LLM Leadership: • Expert-level knowledge of Large Language Models and generative AI architectures • Advanced experience with transformer models, attention mechanisms, and custom model development • Proven track record in BERT, GPT, and other foundation model implementations • Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods • Expert-level RAG system design and Agentic RAG implementation • Experience with multi-agent systems and AI orchestration frameworks Advanced Vision AI & Computer Vision: • Expert proficiency in OpenCV and advanced computer vision techniques • Leadership experience with Vision Language Models and multi-modal AI systems • Advanced image processing, object detection, and video analysis • Integration of vision, language, and reasoning capabilities Senior Technical Leadership: • Expert Python programming with deep knowledge of AI/ML ecosystems • Advanced experience with PyTorch, TensorFlow, and HuggingFace transformers • Database optimization and advanced SQL techniques • MLOps and model lifecycle management Cloud & Enterprise Data Platforms: • Advanced Microsoft Azure architecture and AI services • Expert-level Snowflake implementation including: - Advanced Snowflake SQL and performance optimization - Snowflake Cortex AI/ML advanced features and custom implementations - Snowflake Intelligence advanced analytics and semantic search optimization - Snowflake data sharing and marketplace integration • Enterprise data pipeline architecture and governance Leadership & Strategic Competencies: • Advanced statistical modeling and mathematical foundations • Enterprise model deployment and production optimization • Advanced data visualization and executive-level presentation skills • Deep understanding of insurance industry regulations and model governance • Proven leadership and mentoring abilities • Strategic thinking and AI roadmap development • Cross-functional collaboration and stakeholder management Scope of Job/Qualifications: Leads complex to large-scale AI/ML projects with enterprise impact. Proven expertise in optimizing advanced models and implementing cutting-edge machine learning solutions. Demonstrates deep understanding of the organization's business and technology operations with ability to drive strategic AI initiatives. Shows comprehensive knowledge of industry trends, regulatory requirements, and emerging technologies in insurance and AI. Business Unit: Business Data and Analytics Benefits: Compensation varies by role, position level, and location. Individual pay is influenced by skills, education, training, certifications, experience, and the role's scope and complexity, along with business needs. We offer a competitive Total Rewards package, including medical, dental, and vision plans starting on day one, PTO, paid holidays, commuter benefits, an employee stock purchase plan, education reimbursement, paid parental leave/adoption assistance, and a 401(k) plan with company match. These benefits are available to eligible full-time and part-time employees. Your recruiter can provide more details about our total rewards and specific compensation ranges during the hiring process.

Make an Impact on the Future of Our Annuity Products We're looking for an experienced actuary who enjoys both hands-on analytical work and shaping product strategy. In this role, you'll lead pricing and inforce management projects for our individual annuity products--especially fixed indexed annuities (FIAs). Your first major focus will be designing and pricing GLWB riders on FIAs. From there, you'll have the opportunity to influence product innovation, improve modeling processes, and collaborate across the company to strengthen our overall product suite. If you like having real ownership, enjoy partnering with smart colleagues across multiple functions, and want to help build the next generation of annuity products, this role is a great fit. What Will You Work On Lead pricing and design for FIAs, including GLWB riders. Support product filings and regulatory submissions. Prepare pricing results, documentation, and presentations for senior leaders. Help drive new product development--potentially including a RILA product. Assess the impact of reinsurance or M&A activity. Perform inforce management and analyze product experience trends. Enhance modeling frameworks and refine rate-setting processes. Monitor industry trends. Build a strong understanding of our current and past product offerings. Leadership & Collaboration Work closely with partners in IT, investments, hedging, marketing, distribution, capital management, valuation, risk, compliance, and legal. Mentor junior actuaries and help build deeper expertise in annuity pricing. Drive projects forward with independence and confidence. Option to manage 1--2 direct reports while still spending most of your time as a hands-on individual contributor.

84.51° Data Scientist - Intern Program This program requires you to be in the office 40 hours a week; there are no remote options. Program Duration: May 26, 2026 - July 31, 2026 This is a strict start and end date; must be available for the entire program duration - we will not accommodate dates outside of this. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). SUMMARY: As data scientists, we are a connected community of practice that enables the business teams with which we collaborate to understand the Kroger customer and act on their behalf. We bring an integrated, 360° view of our customer, allowing us to anticipate their needs, enable better business decisions, and make peoples' lives easier. As a result, we grow loyalty to Kroger and CPG brands. The Data Scientist Internship is a 10-week, full-time paid intern position that will allow you to gain work experience and learn about 84.51°- what we do and how we do it. This exciting program gives you the opportunity to participate in a learning experience where you will work collaboratively with 84.51° employees to complete a challenging live project that adds value to our business. It also gives you the opportunity to build strong bonds with all the other Interns as well as network with our 84.51° community. INTERN PROGRAM: The Intern Program duration is strictly the dates outlined at the top (interns cannot start or end early or late). Data Science roles are open in our Cincinnati, OH Headquarters office. Interns are matched with a manager and mentor, both Data Scientists, to support them during the program. Interns should expect to work in the office Monday-Friday, 40 hours per week, typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager upon starting. Interns should not have conflicts such as classes or other employment during the 84.51° workday. 84.51° is divided into two models made up of cross-functional teams: the Kroger model and the Commercial model. These models are named for their core stakeholders and priorities, and data scientists play a critical part in the success of these cross-functional teams. All Data Science interns will be given a project and be assigned to one of our specific Data Science groups aligned to one of our business teams. As a Data Science Intern, you are assigned to and embedded within one of our business teams. You will then leverage our vast amount of first party data to develop new methodologies and/or insights - allowing us to understand customers better than anyone else. Your internship project will enable our clients to have the right strategy and drive better execution for areas such as customer loyalty, pricing, promotions, assortment, new product innovation, digital media, local marketing, and direct-to-consumer communications. Upon completion of the 10-week internship, if we believe you met objectives while demonstrating our 84.51° values, you will be offered a position to join us full-time as part of 84.51°'s Development Program upon graduation (or offer another Internship if you have another summer before graduating). WHAT DATA SCIENCE MEANS TO US: All Data Scientists will join a community of learners, problem solvers, and collaborators. We hire Data Scientists with a variety of skillsets to align with the diverse body of analytical work across the business. A candidate's data science aptitudes will vary based on background and prior experience, bringing a unique set of skills to the table. Data Scientists at 84.51° are not “one size fits all.” There are common skills all Data Scientists possess which we teach and reenforce such as Python/PySpark, but we also value skills that run the gamut from storytelling to data munging to machine learning & artificial intelligence. Our definition of Data Science is robust, and you may have broad responsibilities ranging from building data pipelines, surfacing actionable insights for clients through applied analytics, and machine learning model creation and deployment. Some Data Science roles may incorporate all these skillsets while others may be more focused on insight generation or data curation instead of machine learning and statistical analysis. We value candidates who have a desire to build a breadth of experience across the 84.51° and Kroger businesses. As you develop your strengths over time, and hone your interests, various career paths become available to grow your career at 84.51°. QUALIFICATIONS, SKILLS, AND EXPERIENCE WE VALUE: Working towards a bachelor's degree or higher from a four-year accredited university in Economics, Statistics, Mathematics, Computer Science, Market Research, Business Analytics, Information Systems, Data Science, or another heavily quantitative program. We also consider applicants from other degree fields given prior internship or project experience related to data science and analytics. Graduating May/June 2028 or sooner - must be current student at time of internship An interest in and experience writing efficient and scalable coding (Python, R, SQL, Spark, etc.). Our primary languages are PySpark and Python, though we value any coding experience you may have background in when applying Familiarity with version control and/or process improvement and automation (GitHub) Experience with data visualization, storytelling, and communicating with diverse business audiences Familiarity with theory and application of multiple machine learning techniques (logistic regression, clustering, etc.) and statistical measurement capabilities (Test/Control Methodologies) Strong business and commercial acumen with the ability to translate technical concepts for non-technical audiences and link analysis to business impact Natural curiosity that welcomes and embraces change and willingness to try new things and to fail Exposure or experience with generative AI technologies, with the interest & ability to leverage these tools to enhance data-driven insights and develop innovative solutions Interest in working on teams with cross-functional partners such as consultants, engineering, and product owners #LI-DNI

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Job Title: Data Engineer IV Payrate $70/hr on W2. USC and GC Holder candidates only. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do Squad: Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday-Thursday) We're hiring a Data Engineer to join our newly launched Machine Learning Data Enablement team at Fifth Third Bank. This team is focused on building high-quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker. We're looking for an early-career professional who's excited to grow in a hands-on data engineering role. Ideal candidates will have experience working on machine learning-related projects or have partnered with data science teams to support model development and deployment - and have a strong interest in enabling ML workflows through robust data infrastructure. You'll work closely with data scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank. You should have solid SQL and Python skills, a collaborative mindset, and a strong interest in modern data tooling. Experience with Snowflake, dbt, or cloud data platforms is a strong plus. Familiarity with ML tools like SageMaker or Databricks is helpful but not required - we're happy to help you learn. This is a hands-on role with high visibility and high impact. You'll be joining a team at the ground level, helping to define how data powers machine learning at scale. What You'll Get Competitive base salary Medical, dental, and vision insurance coverage Optional life and disability insurance provided 401(k) with a company match and optional profit sharing Paid vacation time Paid Bench time Training allowance offering You'll be eligible to earn referral bonuses! Job requirements Python SQL Nice To Have AWS Sagemaker DBT Snowflake All done! Your application has been successfully submitted! Other jobs

Description We are looking for an experienced Data Engineer to take a leading role in optimizing and transforming our data architecture. This position will focus on enhancing performance, scalability, and analytical capabilities within our systems. The ideal candidate will have a strong technical background and the ability to mentor teams while delivering innovative solutions. Responsibilities: - Redesign the existing PostgreSQL database architecture to support modern analytical models and improve overall system performance. - Optimize schemas by balancing normalization with denormalization techniques to achieve faster analytical reads. - Implement advanced strategies such as indexing, partitioning, caching, and replication to ensure high-throughput and low-latency data delivery. - Develop and maintain scalable data pipelines to guarantee accurate and timely data availability across distributed systems. - Collaborate with engineering teams to provide guidance on data modeling, query optimization, and architectural best practices. - Monitor and troubleshoot database performance issues, ensuring solutions are implemented effectively. - Lead efforts to enhance the reliability and scalability of data infrastructure to support future growth. - Serve as a technical mentor to team members, sharing expertise in database architecture and performance tuning. - Partner with stakeholders to understand data requirements and deliver solutions that meet business needs. Requirements - Minimum of 5 years of experience in senior-level data engineering or database architecture roles. - Expert-level proficiency in PostgreSQL, including schema design, optimization, and performance tuning. - Proven track record of transforming complex systems into efficient analytical data warehouses. - Advanced knowledge of database strategies such as indexing, partitioning, caching, and replication. - Hands-on experience designing and managing scalable data pipelines in cloud environments. - Strong skills in Amazon Web Services (AWS) and other modern data infrastructure tools. - Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Ability to mentor and lead teams while driving technical innovation and best practices. 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) .

Job Title: Data Visualization Engineer- Healthcare Proven experience in developing and delivering within data visualization, reporting, or business intelligence. Proficiency in Looker and LookML, in addition to other business intelligence platforms like Tableau and PowerBI. Experience with dbt and Snowflake. Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets. Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Excellent communication, with the ability to effectively convey technical concepts to non- technical audiences. Oversee the design and development of interactive and engaging data visualizations and report using tools such as Looker, Tableau, Power BI, or custom visualization libraries. Ensure adherence to best practices, including principles of clarity, accuracy, governance, and effectiveness Qualification: B.E Compensation: $50.00 - $55.00 per hour MAKING THE INDUSTRY'S BEST MATCHES DBSI Services is widely recognized as one of the industry's fastest growing staffing agencies. Thanks to our longstanding experience in various industries, we have the capacity to build meaningful, long-lasting relationships with all our clients. Our success is a result of our commitment to the best people, the best solutions and the best results. Our Story: Founded in 1995 Privately Owned Corporation Managing Partner Business Model Headquartered in New Jersey US Based Engineers Only Collaborative Team Approach Methodology and Process Driven GET HIRED Top performing engineers are the foundation of our business. Our priority is building strong relationships with each employment candidate we work with. You can trust our professional recruiters to invest the time required to fully understand your skills, explore your professional goals and help you find the right career opportunities.

Job DescriptionDescription: Required: In office 4 days a week minimum (Monday-Thursday) in Cincinnati, Ohio We are looking to hire an experienced Data Engineer to support a Data Science enablement squad. This squad enables enterprise ML/AI pipelines in AWS SageMaker. In this role, you'll accelerate the migration of critical Cloud Pak for Data (R Shiny) dashboards to Streamlit in Snowflake. We're looking for a hands‑on engineer who's eager to move fast for users and has an interest in ML/AI pipelining. Ideal candidates have partnered with data science teams to support model development, reporting, or deployment-and want to grow in modern data tooling. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate $60-$70/hr W2 Responsibilities: Migrate prioritized R Shiny dashboards to Streamlit in Snowflake and speed up delivery for risk/DS users. Build app patterns (state, caching, charts, tables/exports) and curate production‑ready Snowflake datasets. Collaborate with DS/ML engineers to align dashboards with SageMaker pipelines and model monitoring. Apply governance and performance best practices Contribute to lightweight tests/CI/CD and operational telemetry. Experience Requirements: Technical Skills - Must Have Streamlit Snowflake Python R / R Shiny literacy SQL Technical Skills - Nice to Have dbt DB2 ETL / orchestration tools AWS SageMaker Snowpark / CI/CD (e.g., GitHub Actions) Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact ********************. About Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

About AMEND: AMEND is a management consulting firm based in Cincinnati, OH with areas of focus in operations, analytics, and technology. We are focused on strengthening the people, processes, and systems in organizations to generate a holistic transformation. Our three-tiered approach provides a distinct competitive edge and allows us to build strong relationships and create customized solutions for every client. This is an incredible time to step into a growing team where everyone is aligned to a common goal to change lives, transform businesses, and make a positive impact on anything we touch. Overview: The Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge analytic solutions while surrounded by a team of world class talent. You will be entering an environment of explosive growth with ample opportunity for development. We are looking for individuals who can go into a client and optimize (or re-design) companies data architecture, who are the combination of a change agent, technical leader and passionate about transforming companies for the better. We need someone who is a problem solver, a critical thinker, and is always wanting to go after new things; you'll never be doing the same thing twice! Job Tasks: Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs Define project requirements by identifying project milestones, phases, and deliverables Execute project plan, report progress, identify and resolve problems, and recommend further actions Delegate tasks to appropriate resources as project requirements dictate Design, develop, and deliver audience training and adoption methods and materials Qualifications: Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Databricks and DBT experience is a plus Experience building and optimizing data pipelines, architectures, and data sets Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Strong analytic skills related to working with structured and unstructured datasets Build processes supporting data transformation, data structures, metadata, dependency, and workload management A successful history of manipulating, processing, and extracting value from large, disconnected datasets Ability to interface with multiple other business functions (internally and externally) Desire to build analytical competencies in others within the business Curiosity to ask questions and challenge the status quo Creativity to devise out-of-the-box solutions Ability to travel as needed to meet client requirements What's in it for you? Competitive pay and bonus Travel incentive bonus structure Flexible time off Investment in your growth and development Full health, vision, dental, and life benefits Paid parental leave 3:1 charity match All this to say - we are looking for talented people who are excited to make an impact on our clients. If this job description isn't a perfect match for your skillset, but you are talented, eager to learn, and passionate about our work, please apply! Our recruiting process is centered around you as an individual and finding the best place for you to thrive at AMEND, whether it be with the specific title on this posting or something different. One recruiting conversation with us has the potential to open you up to our entire network of opportunities, so why not give it a shot? We're looking forward to connecting with you. *Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of employment Visa at this time.*

Job Description The Engineer is responsible for staying on track with key milestones in Customer Platform / Customer Data Acceleration, work will be on the new Customer Platform Analytics system in Databricks. The Engineer has overall responsibility in the technical design process. Leads and participates in the application technical design process and completes estimates and work plans for design, development, implementation, and rollout tasks. The Engineer also communicates with the appropriate teams to ensure that assignments are delivered with the highest of quality and in accordance to standards. The Engineer strives to continuously improve the software delivery processes and practices. Role model and demonstrate the companys core values of respect, honesty, integrity, diversity, inclusion and safety of others. Current tools and technologies include: Databricks and Netezza Key Responsibilities Lead and participate in the design and implementation of large and/or architecturally significant applications. Champion company standards and best practices. Work to continuously improve software delivery processes and practices. Build partnerships across the application, business and infrastructure teams. Setting up new customer data platforms from Netezza to Databricks Complete estimates and work plans independently as appropriate for design, development, implementation and rollout tasks. Communicate with the appropriate teams to ensure that assignments are managed appropriately and that completed assignments are of the highest quality. Support and maintain applications utilizing required tools and technologies. May direct the day-to-day work activities of other team members. Must be able to perform the essential functions of this position with or without reasonable accommodation. Work quickly with the team to implement new platform. Be onsite with development team when necessary. Behaviors/Skills: Puts the Customer First - Anticipates customer needs, champions for the customer, acts with customers in mind, exceeds customers expectations, gains customers trust and respect. Communicates effectively and candidly - Communicates clearly and directly, approachable, relates well to others, engages people and helps them understand change, provides and seeks feedback, articulates clearly, actively listens. Achieves results through teamwork Is open to diverse ideas, works inclusively and collaboratively, holds self and others accountable, involves others to accomplish individual and team goals Note to Vendors Length of Contract 9 months Top skills Databricks, Netezza Soft Skills Needed collaborating well with others, working in a team dynamic Project person will be supporting - staying on track with key milestones in Customer Platform / Customer Data Acceleration, Work will be on the new Customer Platform Analytics system in Databricks that will replace Netezza Team details ie. size, dynamics, locations most of the team is located in Cincinnati, working onsite at the BTD Work Location (in office, hybrid, remote) Onsite at BTD when necessary, approximately 2-3 days a week Is travel required - No Max Rate if applicable best market rate Required Working Hours 8-5 est Interview process and when will it start Starting with one interview, process may change Prescreening Details standard questions. Scores will carry over. When do you want this person to start Looking to hire quickly, the team is looking to move fast.

Senior Data w/Pyspark, Databricks What you'll do: As a Data Engineer, you will be part of the product development team. We develop end-to-end solutions that run data science as a service (DSaaS) and deliver Insights. Our engineers use large-scale data computing frameworks (both on-prem and on the cloud) including (but not limited to) PySpark, Python, Databricks, and SQL to develop products and services in Azure. Minimum Skills Required: Bachelor's degree (typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program), plus 2 years of experience Proven Azure/Databricks development experience Proven Big Data development experience with Apache Spark (PySpark) Experience developing with SQL (Postgres, Oracle, SQL Server, or any) Exposure to VCS (Git, SVN) and CI/CD processes Exposure to data pipeline applications such as Kafka or Flume. Exposure to developing in REST APIs in python (Flask preferred) Understanding of Agile Principles (Scrum) Key Responsibilities Perform unit and integration testing Collaborate with architecture and lead and senior engineers to ensure consistent development practices Collaborate with other engineers to solve and bring new perspectives to complex problems Drive improvements in people, practices, and procedures Embrace new technologies and an ever-changing environment

We are seeking an experienced Data Engineer III. The ideal candidate will be responsible for working with business analysts, data engineers and upstream teams to understand impacts to data sources.& Take the requirements and update/build ETL data pipelines using Datastage and DBT for ingestion into Financial Crimes applications.& Perform testing and ensure data quality of updated data sources. Job Summary:Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Primary Responsibilities: Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals. Install/update disaster recovery procedures. Recommend different ways to constantly improve data reliability and quality. QualificationsLocals are highly preferred. Open to relocation possibility from within the state of Ohio with no assistance Technical Degree or related work experience Experience with non-relational relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.) Experience programming and/or architecting a back-end language (Java, J2EE, etc) Business Intelligence - Data Engineering ETL DataStage Developer SQL Strong communication skills, ability to collaborate with members of your team

Insight Global is looking for a data engineer contractor for one of their top financial clients. The following would be their roles and responsibilities: - Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience. - Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group. - Four+ years of relevant IT experience in data engineering or related disciplines. - Significant experience with at least one major relational database management system (RDBMS). - Experience working with and supporting Unix/Linux and Windows systems. - Proficiency in relational database modeling concepts and techniques. - Solid conceptual understanding of distributed computing principles and scalable data architectures. - Working knowledge of application and data security concepts, best practices, and common vulnerabilities. - Experience in one or more of the following disciplines preferred: scalable data platforms and modern data architectures technologies and distributions, metadata management products, commercial ETL tools, data reporting and visualization tools, messaging systems, data warehousing, major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud platforms (AWS, Azure, GCP), or rest API design and development. - Previous experience working with offshore teams desired. - Financial industry experience, especially Regulatory Reporting, is a plus. 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 4+ years in Business Intelligence - Data Engineering Experience working within Data Stage Experience working in DBT transformation framework Experience working in Cloud Native data platforms, specifically Snowflake Experience with SQL for interacting with relational databases Regulatory Reporting experience