Data scientist jobs in Forestville, OH

Agility Partners is seeking a qualified Junior Data Engineer to fill an open position with one of our clients. This is an exciting opportunity for an early‑career professional to build real‑world data skills in a supportive, fast‑paced environment. You'll work closely with senior engineers and analysts, primarily using SQL to query, clean, and prepare data that powers reporting and analytics. Responsibilities Assist with writing and optimizing SQL queries to support reporting and ad‑hoc data requests Help create basic database objects (tables, views) and maintain data dictionaries and documentation Support routine data quality checks (duplicates, nulls, referential integrity) and simple SQL‑based transformations Participate in loading data into staging tables and preparing datasets for downstream use Troubleshoot query issues (e.g., incorrect results, slow performance) with guidance from senior engineers Collaborate with analytics teams to validate results and ensure datasets meet business needs The Ideal Candidate Foundational SQL proficiency: comfortable writing basic queries and joins; curiosity to learn window functions and indexing Understanding of relational database concepts (keys, normalization vs. denormalization) 0-2 years of professional experience (or internship/capstone/bootcamp projects); recent grads welcome Detail‑oriented, coachable, and comfortable asking questions and working through feedback Able to document work clearly and communicate findings to non‑technical stakeholders Bonus (not required): exposure to Excel/Google Sheets or a BI tool (Power BI/Tableau), and interest in learning simple ETL concepts Reasons to Love It Learn directly from experienced data engineers while working on meaningful, production datasets Clear growth path from SQL fundamentals to broader data engineering skills over time Supportive team culture that values curiosity, reliability, and steady skill development

The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions. Requirements: • 5+ years of experience as a Data Engineer • Hands-on experience with Azure Databricks, Spark, and Python • Experience with Delta Live Tables (DLT) or Databricks SQL • Strong SQL and database background • Experience with Azure Functions, messaging services, or orchestration tools • Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog) • Experience monitoring and optimizing Databricks clusters or workflows • Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms • Experience with Terraform for cloud infrastructure provisioning • Experience with GitHub and GitHub Actions for version control and CI/CD automation • Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior) • Familiarity with SDLC and modern engineering practices • Ability to balance multiple priorities, work independently, and stay organized Key Responsibilities • Analyze, design, and develop enterprise data solutions with a focus on Azure, Databricks, Spark, Python, and SQL • Develop, optimize, and maintain Spark/PySpark data pipelines, including managing performance issues such as data skew, partitioning, caching, and shuffle optimization • Build and support Delta Lake tables and data models for analytical and operational use cases • Apply reusable design patterns, data standards, and architecture guidelines across the enterprise, including collaboration with when needed • Use Terraform to provision and manage cloud and Databricks resources, supporting Infrastructure as Code (IaC) practices • Implement and maintain CI/CD workflows using GitHub and GitHub Actions for source control, testing, and pipeline deployment • Manage Git-based workflows for Databricks notebooks, jobs, and data engineering artifacts • Troubleshoot failures and improve reliability across Databricks jobs, clusters, and data pipelines • Apply cloud computing skills to deploy fixes, upgrades, and enhancements in Azure environments • Work closely with engineering teams to enhance tools, systems, development processes, and data security • Participate in the development and communication of data strategy, standards, and roadmaps • Draft architectural diagrams, interface specifications, and other design documents • Promote the reuse of data assets and contribute to enterprise data catalog practices • Deliver timely and effective support and communication to stakeholders and end users • Mentor team members on data engineering principles, best practices, and emerging technologies

Data Engineer III About the Role We're looking for a Data Engineer III to play a key role in a large-scale data migration initiative within Client's commercial lending, underwriting, and reporting areas. This is a hands-on engineering role that blends technical depth with business analysis, focused on transforming legacy data systems into modern, scalable pipelines. What You'll Do Analyze legacy SQL, DataStage, and SAS code to extract business logic and identify key data dependencies. Document current data usage and evaluate the downstream impact of migrations. Design, build, and maintain data pipelines and management systems to support modernization goals. Collaborate with business and technology teams to translate requirements into technical solutions. Improve data quality, reliability, and performance across multiple environments. Develop backend solutions using Python, Java, or J2EE, and integrate with tools like DataStage and dbt. What You Bring 5+ years of experience with relational and non-relational databases (SQL, Snowflake, DB2, MongoDB). Strong background in legacy system analysis (SQL, DataStage, SAS). Experience with Python or Java for backend development. Proven ability to build and maintain ETL pipelines and automate data processes. Exposure to AWS, Azure, or GCP. Excellent communication and stakeholder engagement skills. Financial domain experience-especially commercial lending or regulatory reporting-is a big plus. Familiarity with Agile methodologies preferred.

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G. As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work. Key Responsibilities: + Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms. + Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms. + Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building. + Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights. + Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies. Job Qualifications Required Qualifications: + Education: Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience. + Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. Demonstrated ability to develop and test code within cloud environments. + Communication: Strong written and verbal communication skills, with the ability to influence others to take action. Preferred Qualifications: + Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems. + Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques. + Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure. + DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE (******************************************************* . Procter & Gamble participates in e-verify as required by law. Qualified individuals will not be disadvantaged based on being unemployed. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary Range $85,000.00 - $115,000.00 / year

Requirements Mandatory Qualifications: • Bachelor's degree in a quantitative field (e.g., Computer Science, Applied Math). • 3+ years of experience in predictive analytics. • Proficiency in Python, NumPy, Pandas, Matplotlib, and Scikit-learn. • Ability to explain and implement ML algorithms from scratch. • Signed NDA and HIPAA training required upon start. Desired Qualifications: • Experience with dashboard development and pretrained language models. • Experience with dimensionality reduction and deep learning libraries (TensorFlow, PyTorch). • Familiarity with human biology and performance. Key Tasks and Responsibilities: • Develop and tune unsupervised tree-based clustering models. • Implement decision trees, k-NN, and optimized list sorting algorithms. • Generate and minimize distance matrices using vectorized code. • Collaborate with software engineers and maintain HIPAA compliance.

We are seeking a highly skilled Data Scientist / Machine Learning Engineer to develop advanced analytics and machine learning solutions that drive meaningful insights for our customers. In this role, you will design and test algorithms, build data-driven experiments, and collaborate closely with SMEs and developers to transform data into actionable intelligence. This position is ideal for someone who excels at both innovative research and practical implementation. Key Responsibilities: Algorithm Development: Develop machine learning, data mining, statistical, and graph-based algorithms to analyze complex data sets and uncover meaningful patterns. Model Evaluation: Test, validate, and down-select algorithms to determine the best-performing models for customer requirements. Experimental Design & Data Generation: Design experiments and creating synthetic or simulated data when training/example data sets are limited or unavailable. Data Visualization & Reporting: Produce clear reports, dashboards, and visualizations that communicate data insights to customers and stakeholders in an intuitive manner. Automation & SME Collaboration: Work with subject matter experts to convert manual analytic workflows into efficient, automated analytics solutions. Cross-Functional Development: Collaborate with software developers to ensure algorithms are properly implemented, optimized, and integrated into production systems. Required Qualifications: Experience designing, training, and validating machine learning models and statistical algorithms. Active TS-SCI security clearance with the ability to obtain a CI poly. Proficiency with Python, R, or similar languages used for analytics and model development. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Strong understanding of experimental design and data generation strategies. Ability to communicate complex analytic concepts to both technical and non-technical audiences. Demonstrated ability to work collaboratively across multidisciplinary teams. Degree in Mathematics/Statistics, Computer Science, or a relevant domain field. MA/MS degree with 13+ years of relevant experience, OR BA/BS degree with 15+ years of relevant experience in a discipline aligned with the position's responsibilities. Why Work for Us? Core4ce is a team of innovators, self-starters, and critical thinkers-driven by a shared mission to strengthen national security and advance warfighting outcomes. We offer: 401(k) with 100% company match on the first 6% deferred, with immediate vesting Comprehensive medical, dental, and vision coverage-employee portion paid 100% by Core4ce Unlimited access to training and certifications, with no pre-set cap on eligible professional development Tuition assistance for job-related degrees and courses Paid parental leave, PTO that grows with tenure, and generous holiday schedules Got a big idea? At Core4ce, The Forge gives every employee the chance to propose bold innovations and help bring them to life with internal backing. Join us to build a career that matters-supported by a company that invests in you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

We are currently seeking an experienced data scientist to join our AI team who will support and lead data flow, advanced analytical needs and AI tools across Medpace. The AI team utilizes analytical principles and techniques to identify, collate and analyze many data sources and works with teams across Medpace to support efficiency and business gains for pharmaceutical development. The AI Data Scientist will support various projects across the company to bring data sources together in a consistent manner, work with the business to identify the value of AI, identify appropriate solutions and work with IT to ensure they are developed and built into the relevant systems. The team is seeking an experienced candidate to contribute new skills to our team, support team growth and foster AI development. The AI Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports many teams across the business including clinical operations, medical, labs, business development and business operations. The AI Team also works side-by-side with data engineering, business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, or computer science, please review the following career opportunity. Responsibilities * Explore and work with different data sources to collate into knowledge; * Work with different business teams across the company with a variety of different business needs to identify potential areas that AI can support; * Manage the process of working through AI potentials from discovery research to PoC to production with the business teams and supporting tasks for IT developers; * Try out different AI tools to substantiate the potential of its use with the business team; * Translate results into compelling visualizations which illustrate the overall benefits of the use of AI and identify with the business team the overall value of its use; * Develop and map database architecture of methodological and clinical data systems; * Convert business tasks into meaningful developer Jira tasks for sprints; * Support departmental process improvement initiatives that can include AI; and * Participate in training and development of more junior team members. Qualifications * Master's degree or higher in informatics, computer science/engineering, health information, statistics, or related field required; * 2 or more years of experience as a Data Scientist or closely related; * Experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques from other industries); * Advanced computer programming skills (preferred language: Python); * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills. 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.

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 SUMMARY The White Glove and Incentives - Collaborative Cloud team is looking for a Senior Data Scientist to join their team. This role will focus on technical development to support our science packages, data assets, and analytic cloud platform offerings along with consulting/training of client data science teams using 84.51° Collaborative Cloud. The work will primarily include hands-on solution building and client consulting. To be successful in this role, a candidate should: Thrive in ambiguous, exploratory work; be a creative problem solver who drives results Be comfortable working with different CC related tech tools - Azure, Databricks, Snowflake, 84.51° Stratum, Power BI, etc. Have a strong business and technical acumen to align with strategy, scope projects, design and build solutions and train/consult client data science teams Enjoy working on a team that supports a client-centric product, helping troubleshoot, brainstorm, and support clients through cross-functional collaboration with internal and external teams Possess strong statistical and machine learning foundations and actively expand these skills to tackle new or existing business problems RESPONSIBILITIES Co-own technical solution design; influence the roadmap with data science strategy and client feedback to drive the evolution of 84.51° Collaborative Cloud Partner with Product, Engineering, Commercial and Business partners to deliver the right data science experiences, aligned with privacy/security best practices Support 3 - 4 clients: onboard and train data science teams; support, consult and problem solve to help the client deliver impactful insights Collaborate with Client Account teams to support clients, assist with demos and selling conversations Build solutions iteratively and adapt as our roadmap changes and evolves overtime Write and QA high-quality code for reliable and scalable product solutions that follow tech standards and best practices Develop methodologies and science packages; advance new offerings and commercialize existing science/data solutions Capture, share, and standardize best practices across the data science community Continuously challenge and improve 84.51° analytical capabilities and products QUALIFICATIONS, SKILLS, AND EXPERIENCE Bachelor or Master's degree in mathematics, statistics, analytics, data science, AI or related discipline 2+ years of experience in consulting or professional services; experience interacting with clients is a plus 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients 2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities. Ability to create computationally efficient solutions Data visualization skills and ability to present technical solutions to non-technical audiences Strong interpersonal and communication skills. Strong analytical, creative problem-solving and decision-making skills A natural curiosity that embraces change, experimentation, and learning from failure. Proficient in our product's technology stack (Azure, Databricks, Pyspark) Ability to work in a highly collaborative environment and within a cross-functional team. Experience working with engineers closely is a plus Proficient in software design principles, automation and package creation Passionate about data, Supervised Learning/Machine Learning. Understanding of AI algorithms is a plus. Knowledge of Embeddings, Clustering, Unsupervised Learning, Distributed Computing is a plus Familiarity of KPM Audience Building best practices is a plus #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

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.

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.

General Electric Credit Union is a not-for-profit, member-owned full service financial institution headquartered in Cincinnati with branches in Ohio and Kentucky. At GECU, we pride ourselves on maintaining quality service, being an employee-friendly workplace, and developing our team members while teaching you the skills to lead you to career advancement opportunities. Overview: The Senior Data Engineer will play a key role in developing and optimizing GECU's data infrastructure to support the organization's data-driven initiatives. The Senior Data Engineer will be designing, building, and maintaining scalable data pipelines and systems, working with the data and development team Essential Responsibilities: Design, implement, and maintain robust, scalable, and high-performance data pipelines and ETL processes to collect, process, and store large volumes of structured and unstructured data. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Develop and maintain data warehouse and data lake solutions, ensuring data quality, integrity, and reliability. Optimize data pipelines and ETL processes for performance, efficiency, and cost-effectiveness, utilizing best practices and technologies. Implement data governance and security measures to ensure compliance with regulatory requirements and data privacy standards. Troubleshoot and resolve issues related to data processing, data quality, and system performance in a timely manner. Evaluate and recommend new technologies, tools, and frameworks to enhance the organization's data infrastructure and capabilities. Document technical specifications, data lineage, and system architecture to facilitate knowledge sharing and collaboration. Collaborate with other key data employees to maintain and publish data definitions and data catalogue. Stay up to date with industry trends and emerging technologies in data engineering and analytics. Education and Experience: High school diploma, or GED required; Bachelor's degree in Computer Science, Engineering, or related field; Master's degree is a plus. Minimum 6 years' experience in Data Engineering; working with data warehousing concepts, database technologies (e.g., SQL, NoSQL), and distributed computing architectures. Experience with Snowflake Data Warehouse preferred Knowledge, Skills, and Abilities: Strong programming skills in languages such as Python, Java, Scala, or SQL, with experience in data manipulation, transformation, and analysis. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. Extensive knowledge of data modeling, schema design, and optimization techniques for relational and non-relational databases. Excellent problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. Strong communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Ability to perform independently and competently to accomplish necessary deliverables accurately and on time. Ability to assist and mentor Junior Data Engineers At GECU, we want to support your wellbeing by offering a wide range of benefits: Health, Dental and Vision insurance Life and Disability insurance options Paid Time Off starts accruing once hired and take your birthday off -paid 401k Retirement plan with up to a 10% match of your base gross compensation Tuition reimbursement opportunities & professional development Volunteer opportunities -and earn additional PTO hours! On-site clinics for Vaccines and Mammograms And many more! Come join GECU as we are a curated culture of respect, understanding, and mutual recognition. We believe forming bonds and connecting with each other only stands to strengthen the service we provide to our members in our mission of improving the Quality of Financial lives! General Electric Credit Union is an Equal Opportunity Employer

* Maintain robust data pipelines for ingesting and processing data from various sources, including SFTP servers. * Implement and manage automated SFTP data transfers, ensuring data security, integrity, and timely delivery. * Configure and troubleshoot SFTP connections, including handling authentication, key management, and directory structures. * Develop and maintain scripts or tools for automating SFTP-related tasks, such as file monitoring, error handling, and data validation. * Collaborate with external teams and vendors to establish and maintain secure SFTP connections for data exchange. * Ensure compliance with data security and governance policies related to SFTP transfers. * Monitor and optimize SFTP performance, addressing any bottlenecks or issues. * Document SFTP integration processes, configurations, and best practices. * Responsible for providing monthly SOC controls. * Experience with Solimar software. * Responsible for period software updates and patching. * Manage open incidents. * Responsible for after-hours and weekends on-call duties * Minimum (3-5) years related work experience * Experience with Microsoft Software and associated server tools. * Experience with GoAnywhere managed file transfer (MFT) solution. * Experience with WinSCP * Experience with Azure Cloud * Proven experience in data engineering, with a strong emphasis on data ingestion and pipeline development. * Demonstrated expertise in working with SFTP for data transfer and integration. * Proficiency in scripting languages (e.g., Python, Shell) for automating SFTP tasks. * Familiarity with various SFTP clients, servers, and related security protocols. * Understanding of data security best practices, including encryption and access control for SFTP. * Experience with cloud platforms (e.g., AWS, Azure, GCP) and their SFTP integration capabilities is a plus. * Strong problem-solving and troubleshooting skills related to data transfer and integration issues. Salary Range- $80,000-$85,000 a year #LI-SP3 #LI-VX1

Role: Data Engineer III Contract 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. Must Have Skills: 5+ years of DataStage experience 5+ years of ETL experience 5+ years of SQL experience 5+ years of Unix/Linux scripting experience At least 5 years of experience working with relational and non-relational databases (e.g., SQL, Snowflake, DB2, MongoDB). Business Intelligence - Data Engineering Cloud Snowflake Database 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. Qualifications: 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)

Key Responsibilities Experience in administration and configuration of API Gateways (e.g. Apigee/Kong) Apply cloud computing skill to deploy upgrades and fixes Design, develop, and implement integrations based on use feedback. Troubleshoot production issues and coordinate with the development team to streamline code deployment. Implement automation tools and frameworks (Ci/CD pipelines). Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products. Collaborate with team members to improve the company's engineering tools, systems and procedures, and data security. Deliver quality customer service and resolve end-user issues in a timely manner Draft architectural diagrams, interface specifications and other design documents Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement Mentor team members in data principles, patterns, processes and practices Promote the reuse of data assets, including the management of the data catalog for reference Draft and review architectural diagrams, interface specifications and other design documents Note to Vendors Top 3 skills: azure data bricks, python, and spark Soft Skills Needed: problem solving, attention to detail, and ability to work independently and part of agile team Team details i.e.. size, dynamics, locations: 10 team members, working independently but will do peer programing throughout the day.

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 Junior Data Scientist, 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 * Data Collection & Cleaning: Gather, clean, and preprocess large, raw datasets; * Analysis & Modeling: Perform statistical analysis, build & validate machine learning models, and test hypotheses (e.g., A/B testing); * Algorithm Development: Create algorithms to manage and interpret information, often automating processes; * Insight Generation: Discover trends, patterns, and insights to inform business strategy; * Visualization & Communication: Present complex findings visually (dashboards, charts) and verbally to technical and non-technical teams; * Collaboration: Work with engineering, product, and business teams to implement solutions; * Model Monitoring: Deploy and maintain models, iterating for continuous improvement. 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, SQL 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.

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

We are currently seeking an experienced data scientist to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, sopport team growth and foster fellow analyst development. The Informatics Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities * Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; * Develop dashboards and web applications to enable Medpace teams' access to, and interpretation of, clinical operations data; * Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy for proposals and bid defense meetings; * Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams; * Develop and map database architecture of methodological and clinical data systems; * Support departmental process improvement initiatives; and * Participate in training and development of more junior team members. Qualifications * Master's degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred * 1-2 years direct experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques); * Advanced computer programming skills (preferred lanaguage: R) * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills 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.