• Diseño y desarrollo de soluciones de IA orientadas a casos de uso reales. • Implementación de agentes, pipelines RAG y sistemas basados en LLMs. • Integración con servicios cloud e infraestructuras hiperescalares. • Desarrollo de lógica de negocio y componentes en Python. • Tratamiento, preparación y transformación de datos. • Evaluación funcional y ajuste iterativo en producción. • Colaboración en la industrialización y despliegue junto a equipos técnicos.

Role Description The Data Manager is responsible for data management activities for research studies. The Data Manager works as an integral part of a cross-functional team through the lifecycle of the research study from design through final analysis and study closeout. The Data Manager is responsible for the completeness and accuracy of the study data in the electronic database and collaborates with internal and external project teams on all aspects of data collection. Responsibilities - Participates with cross-functional teams in design, documentation, testing, and implementation of clinical data collection studies in an electronic data capture (EDC) system. - Designs and/or develops study-specific electronic or paper Case Report Forms (CRFs), ensuring consistency with study protocol, clinical requirements, and accurate and efficient data collection. - Collaborates with the project team and other study personnel to determine data collection requirements based on the study protocol and system knowledge. - Documents and resolves data management issues for a protocol or group of protocols. - Assists with communication for internal and external teams to resolve data management issues. - Creates or reviews data validation check specifications; coordinates with relevant parties in the development and testing of eCRF and data validation checks. - Helps organize project team meetings and facilitates efficient project communication to ensure deadlines are met; participates in department meetings. - Creates and maintains study data management documents according to instructions (e.g. Data Management Handbook, Data Management Plan, Data Validation Plan, EDC System User’s Guide, EDC Training and Certification Documents). - Prepares data reports and assists with data presentations as applicable. - Reviews data obtained through Electronic Medical Records (EMR) integration, commercially available EDC systems, or other external data sources. - Mentors assigned employees on data management procedures and guidelines. - Identifies and resolves data queries and discrepancies; contributes to data quality metrics for a protocol or project; conducts data quality audits. - Conducts training for users on the EDC system and protocol-specific EDC requirements; maintains training documentation and manages system user access. - Other duties as assigned. Qualifications - Bachelor’s degree, preferably in a public health, clinical, science, technical, or related discipline; equivalent combination of education and relevant work experience may be considered in lieu of a degree. - Incumbent typically will possess at least 2 years of data management experience (or Master’s degree) and basic understanding of the clinical development and data management processes. - Experience in clinical electronic data capture (EDC) systems preferred. - Knowledge of Microsoft Office suite is essential. - Ability to handle multiple tasks at one time and to work with minimal supervision. - Excellent verbal and written communication skills. - Strong attention to detail, adaptable, and flexible. Benefits - This assignment will start you off as a temporary full-time employee working 40 hours per week. - The work presently is forecasted to go till December 31, 2026. - A decision will be made if the work will continue and if so, whether or not to convert whomever is in the role to a FTE.

• Develop, test and deploy data quality checks for timeseries • Develop, test and deploy labeling technics to describe efficiently the context of timeseries • Integrate advanced AI methods into the platform • Collaborate with cross-functional teams, including product designer and software engineers, to integrate developed technics into DataPilot

Ibotta is seeking a Staff Data Scientist, Client Data & Measurement to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our newly formed and growing Core Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. As a Staff Data Scientist, you’ll have the unique, challenging, and rewarding opportunity to build the foundation of data and data science within the company. You’ll be able to create and own greenfield opportunities to make big positive impacts on the business across several teams and business areas. You’ll have the chance to own the data science technology of one or more important core business domains, from collaborating with stakeholders, through the full model development lifecycle. You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by establishing and leading best practices for the team and company, and providing mentoring and education across the company. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you’re not in the Denver metro area or the listed states, relocation reimbursement to Denver is available. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Provide subject matter expertise and ownership of one or more of the company’s core business domains - Establish and lead best practices, setting the example for the team - Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling - Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior - Provide customized views of large and complex datasets to support data analysis and business decision-making - Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities - Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance - Harden data pipelines and models for production deployment and monitoring of performance over time - Provide mentoring and education to this team and other teams across the company - Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: - 7+ years of experience making significant positive impacts in a professional data science or machine learning role - Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required - A history of and passion for driving important decisions using data and data storytelling - A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus - Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms - Expert-level Python skills, and abilities. Spark or PySpark experience is a strong plus - Excellent statistical analysis skills, with a solid understanding of experimental design and time series analysis a strong plus - Superior analytical and problem solving skills - Expert-level knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas - Experience manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams - Experience in MLOps a strong plus About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, bagel Wednesdays, snacks and occasional meals. - Base compensation range: $152,000 - $203,000. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Total compensation for this role also includes a variable component in addition to base salary. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Remote #BI-Remote #BI-Hybrid