Data scientist jobs in Bluffdale, UT

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

84604 Job Family: Data Engineering We are seeking a hard-working, innovative, detail-oriented, and creative team player to join our Aptive team! This is a full-time Data Scientist position located in Provo, Utah. This role combines advanced statistical expertise with machine learning, analytics engineering, and business acumen to improve process efficiency, enhance forecasting accuracy, and guide strategic initiatives. What we offer: $100k to $130k Annually, depending on experience Annual Bonus Group Health, Dental, and Vision plans Pet insurance, Life insurance, and EAP benefits 401K with employer match up to 4% Paid holidays and paid time off Opportunity for advancement Upbeat and exciting company culture and much more! Responsibilities include: Develop and refine machine learning models to support forecasting, classification, ranking, or optimization needs across business units Build, maintain, and enhance data pipelines, data models, and automated workflows to ensure reliable and scalable analytics operations Conduct statistical and causal analyses to detect performance trends, identify root causes, and inform operational decision-making Translate ambiguous business questions into analytical frameworks, clearly outlining hypotheses, assumptions, and limitations Identify and correct data biases, including selection bias, survivorship bias, Simpson's paradox, data leakage, and collider bias to ensure analytical integrity Design, execute, and evaluate causal experiments and A/B tests to measure the impact of operational or product changes Develop, monitor, and communicate KPIs that improve visibility into operational performance, resource allocation, and strategic outcomes Prepare and present clear, decision-ready insights to executive leadership and cross-functional partners using visualizations, dashboards, and written summaries Use SQL, Python, and internal data platforms (e.g., Snowflake, Airflow, AWS) to extract, validate, and transform large datasets for analysis and modeling Collaborate with Engineering, Product, Operations, Finance, Marketing, and Strategy teams to align models, data structures, and insights with organizational needs Validate analytical work rigorously, ensuring reproducibility, accuracy, and proper documentation across all models and deliverables Provide guidance on analytical methods, experiment design, and statistical best practices to cross-functional stakeholders Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field; or equivalent practical experience Requirements: 3-5 years in statistical analysis, data science, or related analytical roles with proven experience working with large datasets in business environments Advanced statistical and machine learning expertise, including causal inference, experiment design, model development, and mitigation of common data biases Proficiency in Python, SQL, data pipeline architecture, cloud data tools (e.g., Snowflake, Airflow, AWS), and BI platforms such as Tableau, Sigma, or Domo Strong ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders, supported by exceptional communication and visualization skills Demonstrated analytical rigor, attention to detail, and ability to manage multiple projects while collaborating effectively across cross-functional teams Aptive Pest Control: Aptive Pest Control provides pest control services to 34 states in the US. Co-founded in 2015 by Vess Pearson and David Royce, Aptive launched with the clear intention of becoming a world-recognized brand. In 2021, Aptive was included in Inc. Magazine's “Best in Business” list of companies that make a positive impact. Aptive is also featured on Glassdoor's 2019 list of Top 100 US workplaces and is ranked one of Entrepreneur Magazine's Best Companies in America. We are a proud member of the EPA's Pesticide Environmental Stewardship Program and have partnered with the United Nations Foundation's "United to Beat Malaria" to help stop the spread of malaria transmitted by mosquito bites. *Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please inform your recruiter.

84604 Job Family: Data Engineering We are seeking a hard-working, innovative, detail-oriented, and creative team player to join our Aptive team! This is a full-time Data Scientist position located in Provo, Utah. This role combines advanced statistical expertise with machine learning, analytics engineering, and business acumen to improve process efficiency, enhance forecasting accuracy, and guide strategic initiatives. What we offer: * $100k to $130k Annually, depending on experience * Annual Bonus * Group Health, Dental, and Vision plans * Pet insurance, Life insurance, and EAP benefits * 401K with employer match up to 4% * Paid holidays and paid time off * Opportunity for advancement * Upbeat and exciting company culture and much more! Responsibilities include: * Develop and refine machine learning models to support forecasting, classification, ranking, or optimization needs across business units * Build, maintain, and enhance data pipelines, data models, and automated workflows to ensure reliable and scalable analytics operations * Conduct statistical and causal analyses to detect performance trends, identify root causes, and inform operational decision-making * Translate ambiguous business questions into analytical frameworks, clearly outlining hypotheses, assumptions, and limitations * Identify and correct data biases, including selection bias, survivorship bias, Simpson's paradox, data leakage, and collider bias to ensure analytical integrity * Design, execute, and evaluate causal experiments and A/B tests to measure the impact of operational or product changes * Develop, monitor, and communicate KPIs that improve visibility into operational performance, resource allocation, and strategic outcomes * Prepare and present clear, decision-ready insights to executive leadership and cross-functional partners using visualizations, dashboards, and written summaries * Use SQL, Python, and internal data platforms (e.g., Snowflake, Airflow, AWS) to extract, validate, and transform large datasets for analysis and modeling * Collaborate with Engineering, Product, Operations, Finance, Marketing, and Strategy teams to align models, data structures, and insights with organizational needs * Validate analytical work rigorously, ensuring reproducibility, accuracy, and proper documentation across all models and deliverables * Provide guidance on analytical methods, experiment design, and statistical best practices to cross-functional stakeholders Qualifications: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field; or equivalent practical experience Requirements: * 3-5 years in statistical analysis, data science, or related analytical roles with proven experience working with large datasets in business environments * Advanced statistical and machine learning expertise, including causal inference, experiment design, model development, and mitigation of common data biases * Proficiency in Python, SQL, data pipeline architecture, cloud data tools (e.g., Snowflake, Airflow, AWS), and BI platforms such as Tableau, Sigma, or Domo * Strong ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders, supported by exceptional communication and visualization skills * Demonstrated analytical rigor, attention to detail, and ability to manage multiple projects while collaborating effectively across cross-functional teams Aptive Pest Control: Aptive Pest Control provides pest control services to 34 states in the US. Co-founded in 2015 by Vess Pearson and David Royce, Aptive launched with the clear intention of becoming a world-recognized brand. In 2021, Aptive was included in Inc. Magazine's "Best in Business" list of companies that make a positive impact. Aptive is also featured on Glassdoor's 2019 list of Top 100 US workplaces and is ranked one of Entrepreneur Magazine's Best Companies in America. We are a proud member of the EPA's Pesticide Environmental Stewardship Program and have partnered with the United Nations Foundation's "United to Beat Malaria" to help stop the spread of malaria transmitted by mosquito bites. * Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please inform your recruiter.

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide insights that make MeetCute a better place to find a date. The main technologies you'll be working with are Python and MySQL. Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about user experience Effective at turning open-ended projects into concrete deliverables It's also good if you have: Math or CS degree Familiarity with IPython notebook (or Jupyter), pandas, Hadoop How does a MeetCute data scientist #hackdating? First, and most importantly, is the design and analysis of experiments. We run a substantial number of tests in the process of developing our project, and we want to make sure we come to the right conclusions. Data scientists are also often called upon to answer questions about how the site currently functions, to inform and guide future product decisions that we make. These questions tend to be open-ended, so the ability to go from a vague question to a concrete answer is essential. How can you join our team? Send us your resume and tell us why you're excited to join us

Summary/objective We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks. Why Join Us? Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges. Directly influence customer retention and revenue growth through applied data science. Work in a collaborative environment where experimentation and innovation are encouraged. Core Job Duties: Model Development * Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities. * Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance. * Incorporate feature engineering pipelines that leverage customer behavior, transaction history, and product usage data. Data Engineering & Pipeline Ownership * Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring. * Collaborate with data engineers to ensure proper data ingestion, transformation, and governance. Experimentation & Validation * Conduct A/B tests and back testing to validate model effectiveness. * Apply techniques for model monitoring, drift detection, and retraining in production. Business Impact & Storytelling * Translate complex analytical outputs into clear recommendations for business stakeholders. * Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs. Minimum Qualifications: * Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience). * 3+ years of experience building predictive models in a production environment. * Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL. * Demonstrated expertise using Databricks for: * Data manipulation and distributed processing with PySpark. * Building and managing models with MLflow. * Leveraging Delta Lake for efficient data storage and retrieval. * Implementing scalable ML pipelines within Databricks' ML Runtime. * Experience with feature engineering for behavioral and transactional datasets. * Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems. * Ability to communicate results and influence decision-making across technical and non-technical teams. Preferred Qualifications: * Experience with cloud platforms (Azure Databricks, AWS, or GCP). * Familiarity with Unity Catalog for data governance and security. * Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks. * Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring). * Background in SaaS, subscription-based businesses, or customer analytics. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds. Travel Required: Limited Work Authorization: Employees must be legally authorized to work in the United States. FLSA Classification: Exempt Location: Any Effective Date: 9/16/2025 About isolved isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes to grow their companies and careers. Learn more at ******************* isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit ************************** for more information regarding our incredible culture and focus on our employee experience. Visit ************************* for a comprehensive list of our employee total rewards offerings.

Data Scientist | Product Management | Lehi, Utah | Hybrid RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it. Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day. We're searching for a US-based Data Scientist to join our Analytics & Insights team, so that we can deliver predictive models, intelligent data pipelines, and actionable insights to improve patient outcomes and operational efficiency. The Data Scientist will design, implement, and scale advanced statistical and machine learning solutions to help healthcare organizations make better, data-driven decisions. Develop statistical models and machine learning algorithms to support predictive analytics, forecasting, and decision-making in healthcare operations Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks in order to deliver reliable, scalable data pipelines Design and implement experiments and hypothesis tests to validate product impact and optimize customer outcomes Collaborate with engineers, product managers, and clinical experts to translate business questions into data-driven solutions Implement monitoring, validation, and alerting tools to ensure data quality, accuracy, and system reliability What Kind of Things We're Most Interested in You Having Mid-level experience in data science, machine learning, or a related role, ideally within SaaS or healthcare Proven success in building and deploying end-to-end data solutions (from pipeline to predictive model to production) In-depth knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design Applied experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms such as AWS/GCP/Azure) Demonstrated ability to troubleshoot and debug data workflows while maintaining system scalability and availability Sincere interest in using data science to improve healthcare outcomes and operational efficiency A knack for working collaboratively across technical and non-technical teams in a fast-paced, global environment By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws. As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to accessibility@rldatix.com. Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses-from startups to established brands-make smarter decisions and gain control of their operations. And we don't stop there: we're creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that's ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity-and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person's unique skills and experiences. We'd love to hear from you-you might be just what we're looking for, whether in this role or another. ✨ Let's give businesses more time for what matters. What You'll Do Lead the way: Drive the development, maintenance, and refinement of risk strategy frameworks and complex rules to achieve ambitious business goals. Be a data detective: Use advanced analytics and data science techniques to solve complex business problems. This includes building sophisticated SQL/Python scripts, interpreting results, and influencing decision-making with your findings. Collaborate and create: Partner with cross-functional teams, including product, engineering, and operations, to identify new opportunities, establish business requirements, and guide the execution of strategies across the customer lifecycle. Build powerful tools: Develop flexible performance dashboards and monitoring tools using platforms like Tableau to provide clear, actionable insights to a variety of audiences. Stay ahead of the curve: Identify and execute new opportunities to optimize processes and proactively detect and respond to evolving risk trends. Mentor and grow: Help mentor and support junior team members to help them achieve their goals. What We're Looking For Proven experience: Minimum of 3+ years of experience in fraud or credit risk strategy within the fintech, e-commerce, or online payments industry. Technical expertise: Proficiency in SQL and Python, with a strong ability to work with large, complex datasets and leverage data science libraries. Analytical mindset: Demonstrated ability to use statistics and data science to solve complex, ambiguous problems and drive data-driven decisions. Exceptional communication: Ability to clearly and concisely communicate complex results to both technical experts and business leaders. Hands-on experience: Direct experience with developing and deploying data-driven and automated monitoring rules, and the ability to find and recommend enhancements for existing processes. Bonus Points Experience in experimental design and data/control governance. Knowledge of fraud typologies, such as onboarding fraud/abuse. Experience with customer management or collections strategies for credit products like revolving credit cards or merchant cash advances. Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. San Jose pay range$110,200-$132,100 USD The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILL's bonus and equity plan. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. Draper UT pay range$93,700-$112,300 USD What's in it for you? Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn't only experienced by our customers, but by our employees as well. Here is a preview of some of the amazing benefits here at BILL: 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP) HSA & FSA accounts Life Insurance, Long & Short-term disability coverage Employee Assistance Program (EAP) 11+ Observed holidays and wellness days and flexible time off Employee Stock Purchase Program with employee discounts Wellness & Fitness initiatives Employee recognition and referral programs And much more Don't believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages. BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture. We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.

Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. Required Qualifications Proven expertise in predictive modeling, forecasting, and applied ML (e.G., regression, gradient boosting, time-series, causal inference). Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). Ability to take models from concept to production in collaboration with engineering partners. Skilled in statistical analysis, feature engineering, and experimental design (e.G., A/B testing). Excellent communication and storytelling skills for complex, data-driven topics. Preferred Qualifications Experience with energy forecasting, thermal modeling, or Demand Response optimization. Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. Familiarity with LLM or generative AI applications in analytics and optimization. Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives.

+ A Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. + We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. + Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. **Responsibilities:** + Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. + Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. + Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. + Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. **Experience:** + Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). + Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. + Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). + Ability to take models from concept to production in collaboration with engineering partners. + Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). + Excellent communication and storytelling skills for complex, data-driven topics. **Skills:** + Experience with energy forecasting, thermal modeling, or Demand Response optimization. + Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. + Familiarity with LLM or generative AI applications in analytics and optimization. + 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives. **Education:** + Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionRole: Sr. Data Scientist The Senior Data Scientist will be the first and sole Data Scientist in the organization, serving as a foundational member of 401GO's growing data function. In this role, you will not only lead advanced analytics, modeling, and experimentation efforts, but also help shape the long-term data strategy and infrastructure for the company.As the team and business scale, this role will be responsible for building, hiring, and managing a high-performing data science team. This is an ideal position for someone who thrives in high-growth environments, enjoys solving complex problems, and is excited about owning both hands-on analytics and future leadership responsibilities. What You'll Be Doing: Lead the Data Science Program: Architect the long-term data science roadmap, including infrastructure, hiring, processes, and best practices. Build and mentor a high-performing data science and analytics team as the company grows. Establish data governance, documentation standards, and model lifecycle management. AI and Machine Learning Development: Develop and curate high-quality datasets for internal AI tools, ensuring privacy, security, and consistency. Hands-On Data Science and Analytics: Analyze complex datasets to uncover trends, behaviors, operational bottlenecks, and strategic insights. Build dashboards, predictive models, and custom analytics to support executive decision-making. Work closely with Finance to improve forecasting, cost modeling, revenue analytics, and operational reporting. Cross-Functional Leadership: Collaborate with executives, engineering, operations, customer success, finance, and product to identify data opportunities and drive measurable impact. What You Bring: 10+ years of professional data science experience, including senior or lead-level responsibilities. A willingness to be a “jack of all trades” data scientist, willing to switch between high-level strategy and deep hands-on execution. Experience creating and managing datasets for AI applications, or a willingness and eagerness to learn. Experience working with cloud platforms (GCP preferred; BigQuery experience is a plus). Experience with BI tools (Looker, Tableau, Metabase, etc.). Proven ability to build and scale data programs, processes, and teams. Experience supporting business functions like Finance, Operations, Product, or Growth with analytics and reporting. Strong communication skills, able to present complex insights to executive leaders and non-technical teams. Job Type: Full-time Location: United States Why 401GO?At 401GO, we're not just changing retirement-we're reinventing it. As a fast-growing fintech start-up, we've built the world's most advanced, fully automated retirement platform to help hard-working Americans take control of their future. Here, innovation moves fast, ideas matter, and your work makes a real impact. You'll enjoy a collaborative and supportive environment where great people do their best work together, backed by competitive compensation, excellent benefits, and plenty of opportunities for professional growth. If you're ready to challenge the status quo and be part of something big, 401GO is the place to grow your career. What We Offer A standout 401(k) plan (naturally!). Generous stock options-share in our growth and success. Flexible work environment-choose where you're most productive. Excellent benefits, including medical, dental, and vision. Flexible hours-because great work doesn't always happen 9-5. Plenty of PTO-we value work-life balance. A fully stocked kitchen when you're in the office. At 401GO, we invest in our people just as much as we invest in helping Americans secure their financial future.We are proud to be an Equal Opportunity Employer. We support a working environment that provides qualified employees and applicants with equal employment opportunity on a non-discriminatory basis without regard to race, color, creed, age, religion, gender (including pregnancy, gender identification and/or gender nonconformity) sexual orientation, marital status, national origin, ancestry, ethnicity, genetic information, physical or mental disability, citizenship, past, current or prospective service in the uniformed services or any other basis prohibited by federal, state, or local law. E04JI800lnui4086tyn

Role: Sr. Data Scientist Reports To: CTO The Senior Data Scientist will be the first and sole Data Scientist in the organization, serving as a foundational member of 401GO's growing data function. In this role, you will not only lead advanced analytics, modeling, and experimentation efforts, but also help shape the long-term data strategy and infrastructure for the company. As the team and business scale, this role will be responsible for building, hiring, and managing a high-performing data science team. This is an ideal position for someone who thrives in high-growth environments, enjoys solving complex problems, and is excited about owning both hands-on analytics and future leadership responsibilities. What You'll Be Doing: * Lead the Data Science Program: Architect the long-term data science roadmap, including infrastructure, hiring, processes, and best practices. * Build and mentor a high-performing data science and analytics team as the company grows. * Establish data governance, documentation standards, and model lifecycle management. * AI and Machine Learning Development: Develop and curate high-quality datasets for internal AI tools, ensuring privacy, security, and consistency. * Hands-On Data Science and Analytics: Analyze complex datasets to uncover trends, behaviors, operational bottlenecks, and strategic insights. * Build dashboards, predictive models, and custom analytics to support executive decision-making. * Work closely with Finance to improve forecasting, cost modeling, revenue analytics, and operational reporting. * Cross-Functional Leadership: Collaborate with executives, engineering, operations, customer success, finance, and product to identify data opportunities and drive measurable impact. What You Bring: * 10+ years of professional data science experience, including senior or lead-level responsibilities. * A willingness to be a "jack of all trades" data scientist, willing to switch between high-level strategy and deep hands-on execution. * Experience creating and managing datasets for AI applications, or a willingness and eagerness to learn. * Experience working with cloud platforms (GCP preferred; BigQuery experience is a plus). * Experience with BI tools (Looker, Tableau, Metabase, etc.). * Proven ability to build and scale data programs, processes, and teams. * Experience supporting business functions like Finance, Operations, Product, or Growth with analytics and reporting. * Strong communication skills, able to present complex insights to executive leaders and non-technical teams. Job Type: Full-time Location: United States Why 401GO? At 401GO, we're not just changing retirement-we're reinventing it. As a fast-growing fintech start-up, we've built the world's most advanced, fully automated retirement platform to help hard-working Americans take control of their future. Here, innovation moves fast, ideas matter, and your work makes a real impact. You'll enjoy a collaborative and supportive environment where great people do their best work together, backed by competitive compensation, excellent benefits, and plenty of opportunities for professional growth. If you're ready to challenge the status quo and be part of something big, 401GO is the place to grow your career. What We Offer * A standout 401(k) plan (naturally!). * Generous stock options-share in our growth and success. * Flexible work environment-choose where you're most productive. * Excellent benefits, including medical, dental, and vision. * Flexible hours-because great work doesn't always happen 9-5. * Plenty of PTO-we value work-life balance. * A fully stocked kitchen when you're in the office. At 401GO, we invest in our people just as much as we invest in helping Americans secure their financial future. We are proud to be an Equal Opportunity Employer. We support a working environment that provides qualified employees and applicants with equal employment opportunity on a non-discriminatory basis without regard to race, color, creed, age, religion, gender (including pregnancy, gender identification and/or gender nonconformity) sexual orientation, marital status, national origin, ancestry, ethnicity, genetic information, physical or mental disability, citizenship, past, current or prospective service in the uniformed services or any other basis prohibited by federal, state, or local law.

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. The Product Analytics team at Vivint partners with stakeholders across the organization to provide meaningful insight into our products and our customers. We are in an exciting space as we try to understand how people interact with their homes from security and sensors, to lighting and computer vision our team reaches across the organization to provide understanding and insights. We are seeking a talented Senior Data Scientist to lead our efforts in optimizing and advancing our data-driven initiatives. The ideal candidate will play a pivotal role in leveraging data-driven insights to enhance the performance, reliability, and scalability of our systems. As a Senior Data Scientist, you will collaborate closely with cross-functional teams to develop and deploy advanced analytics solutions, drive strategic decision-making, and shape the future of energy management. Primary Responsibilities: Develop models and insights that help drive our energy strategy Leverage data to provide a better home energy experience to customers Collaborate with engineering teams to deploy scalable solutions and integrate analytics into existing systems. Communicate findings and recommendations to stakeholders through clear and compelling visualizations, reports, and presentations. Work closely with product managers and stakeholders to understand business requirements, prioritize projects, and deliver actionable recommendations. Required Skills: Experience with timestamped event data and common data transformations. Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Energy or other fields Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and dashboarding platforms. Highly analytical with strong, demonstrated problem solving and critical thinking capabilities An understanding of statistical analysis. Proficient in Python and the associated ML / Data science frameworks Proficient in Spark Experience with Advanced Data Models / ML Experience with A/B Testing Proven ability to work across teams and roles Nice to Have Skills: Knowledge of text analytics and natural language processing (NLP) techniques. Experience working with large language models (LLMs) and their applications in data analysis and decision support systems. Experience with GCP Required Education/Experience: Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience. 5+ years work experience. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Internship Opportunity: Data Science Department: BCI Neuralace - Data Science Duration: 3 Months - 6 Months (Possible Contract Extension) Our Mission Blackrock Neurotech is 100% focused on improving human lives through neuroscience research and technology. The passion and dedication behind this mission has nurtured a dynamic, enjoyable and fulfilling corporate environment in which learning, and growth are commonplace. We operate in an innovative field that requires our staff to meet the highest standards. Every step of the way, we encourage one another by providing continuous motivation and promoting a healthy work environment. Community Contributions Not only are Blackrock's employees committed to improving lives through their work, but many also strive to improve the community by volunteering in their spare time. Our efforts vary from donating blood and feeding the hungry to volunteering at the Utah Food Bank. We also value community education -teaching science labs to children, coaching sports teams, and teaching first aid courses. We take pride in our employee's extracurricular activities that contribute to the betterment of local communities. Disclosure In order to provide a safe and productive work environment, all offers of employment at Blackrock Neurotech are contingent upon a thorough background check. A criminal history will not automatically disqualify a candidate from an offer of employment. About Neuralace Neuralace is advancing the future of brain-computer interface (BCI) technology through innovation, precision, and purpose. We're growing a team dedicated to developing groundbreaking neurotech solutions that bridge the gap between science and real-world impact. About the Internship At the forefront of patient-focused research, the BCI Clinical team uncovers the scientific insights that make tomorrow's brain-computer interfaces possible. Our neuroscientists, engineers, and clinicians work side by side with research and engineering partners to tackle the most pressing challenges in BCI. We champion rigorous experimental design, thoughtful inquiry, and a collaborative spirit. Technical Skills * Strong Python programming and software engineering fundamentals * Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) * Signal processing expertise (filtering, Fourier/wavelet transforms, feature extraction) * Knowledge of neural decoding methods and real-time data streaming Analytical Abilities * Ability to build and validate predictive models * Statistical rigor in model evaluation and performance tuning * Data-wrangling skills for large, high-dimensional datasets Personal Qualities * Curiosity and creativity in algorithm design * Collaborative mindset for working with engineers, clinicians, and researchers * Comfort explaining complex data insights to mixed audiences Internship Benefits * Public transportation pass reimbursement (up to $100/month) * Company swag * Company-sponsored events * Company-sponsored intern social events * 12 company-paid holidays * 3 paid sick days * Employee recognition program * Weekly catered lunches * Fully stocked kitchen with snacks and drinks

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Are you ready to have fun with data? As a Data Engineer focused on cloud spend optimization at Adobe, you'll play a key role in transforming massive amounts of cloud usage data into actionable insights. You'll combine strong data engineering fundamentals with analytical curiosity-helping surface patterns, trends, and opportunities to drive more efficient cloud operations across Adobe's platforms and products. This role sits at the intersection of data engineering, analytics, and AI innovation. You'll build and maintain data pipelines that power our cost insights, partner with analysts and data scientists to interpret results, and experiment with emerging approaches-including AI Agent development-to automate data analysis and accelerate decision-making. Key Responsibilities * Design, build, and maintain scalable and reliable data pipelines for cloud spend and utilization analytics. * Develop data models and transformations that make complex cloud usage data accessible and useful. * Analyze large datasets to identify trends, anomalies, and optimization opportunities. * Partner with data scientists and product engineers to translate findings into business and technical actions. * Contribute to the development of data-driven tools, including early experimentation with AI Agents for insight generation and automation. * Ensure data quality, integrity, and performance across all stages of the pipeline. * Document workflows, participate in code reviews, and continuously improve data processes. Qualifications * BS in Computer Science, Engineering, or a related field with 4+ years of experience in data engineering or data science. * Strong proficiency in SQL and Python for data wrangling, automation, and analysis. * Experience with AWS, DBT, and Airflow (or similar modern data stack tools). * Solid understanding of data modeling, warehousing concepts, and ETL/ELT pipeline design. * Comfortable with exploratory data analysis and visualization using tools like Pandas, Matplotlib, or Jupyter. * Curiosity about AI Agent development and how generative AI can transform analytics workflows. * Analytical mindset with strong attention to detail and problem-solving skills. * Strong communication skills and a collaborative, growth-oriented attitude. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $114,100 -- $214,950 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Who You'll Work With As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies You will collaborate with cross-functional teams, including Google Cloud architects, data scientists, and business units, to design and implement Google Cloud data and AI solutions. As a Consultant, Senior Consultant or Principal at Slalom, you will be a part of a team of curious learners who lean into the latest technologies to innovate and build impactful solutions for our clients. What You'll Do * Design, build, and operationalize large-scale enterprise data and AI solutions using Google Cloud services such as BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub and more. * Implement cloud-based data solutions for data ingestion, transformation, and storage; and AI solutions for model development, deployment, and monitoring, ensuring both areas meet performance, scalability, and compliance needs. * Develop and maintain comprehensive architecture plans for data and AI solutions, ensuring they are optimized for both data processing and AI model training within the Google Cloud ecosystem. * Provide technical leadership and guidance on Google Cloud best practices for data engineering (e.g., ETL pipelines, data pipelines) and AI engineering (e.g., model deployment, MLOps). * Conduct assessments of current data architectures and AI workflows, and develop strategies for modernizing, migrating, or enhancing data systems and AI models within Google Cloud. * Stay current with emerging Google Cloud data and AI technologies, such as BigQuery ML, AutoML, and Vertex AI, and lead efforts to integrate new innovations into solutions for clients. * Mentor and develop team members to enhance their skills in Google Cloud data and AI technologies, while providing leadership and training on both data pipeline optimization and AI/ML best practices. What You'll Bring * Proven experience as a Cloud Data and AI Engineer or similar role, with hands-on experience in Google Cloud tools and services (e.g., BigQuery, Vertex AI, Dataflow, Cloud Storage, Pub/Sub, etc.). * Strong knowledge of data engineering concepts, such as ETL processes, data warehousing, data modeling, and data governance. * Proficiency in AI engineering, including experience with machine learning models, model training, and MLOps pipelines using tools like Vertex AI, BigQuery ML, and AutoML. * Strong problem-solving and decision-making skills, particularly with large-scale data systems and AI model deployment. * Strong communication and collaboration skills to work with cross-functional teams, including data scientists, business stakeholders, and IT teams, bridging data engineering and AI efforts. * Experience with agile methodologies and project management tools in the context of Google Cloud data and AI projects. * Ability to work in a fast-paced environment, managing multiple Google Cloud data and AI engineering projects simultaneously. * Knowledge of security and compliance best practices as they relate to data and AI solutions on Google Cloud. * Google Cloud certifications (e.g., Professional Data Engineer, Professional Database Engineer, Professional Machine Learning Engineer) or willingness to obtain certification within a defined timeframe. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position the target base salaries are listed below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The target salary pay range is subject to change and may be modified at any time. East Bay, San Francisco, Silicon Valley: * Consultant $114,000-$171,000 * Senior Consultant: $131,000-$196,500 * Principal: $145,000-$217,500 San Diego, Los Angeles, Orange County, Seattle, Houston, New Jersey, New York City, Westchester, Boston, Washington DC: * Consultant $105,000-$157,500 * Senior Consultant: $120,000-$180,000 * Principal: $133,000-$199,500 All other locations: * Consultant: $96,000-$144,000 * Senior Consultant: $110,000-$165,000 * Principal: $122,000-$183,000 EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We are accepting applications until 12/31. #LI-FB1

About Us Kenect is on a mission to revolutionize customer communication and engagement for businesses across North America. Founded with a deep understanding of the challenges businesses face in connecting with their customers, Kenect helps companies streamline communication, enhance customer satisfaction, and drive growth through its innovative messaging and reputation platform. Trusted by thousands of businesses, our passionate team is committed to building technology that fosters closer connections and helps businesses thrive in a digital-first world. About This Role As the Lead Data Engineer, you will lead the development of Kenect's data ecosystem, including architecting and implementing a customer data platform. This platform will unify batch and real-time data from sources such as DMS, CRMs, social networks, and web traffic to create comprehensive 360-degree customer profiles. You will work closely with a product manager to ensure the data initiatives are aligned with the product roadmap, building the right data products that are prioritized to deliver customer-facing value. Together with engineers, analysts, and data scientists, you will enable data-driven insights and power advanced digital initiatives like real-time personalization, predictive modeling, and targeted marketing campaigns. In this role, you will help to define the architecture, tools, and strategy for data pipelines, data lakes, cloud data warehousing, and integrations with marketing automation tools. Your work will directly support Kenect's mission to transform the customer experience at tens of thousands of dealerships. What you will be doing • Designing and implementing scalable batch and real-time data pipelines using tools like Fivetran, dbt, Apache Spark, and Airflow. • Architecting and managing a data lake and cloud data warehouse solutions (e.g., BigQuery, Redshift, Snowflake, Databricks). • Building and optimizing streaming data pipelines with tools such as GCP Pub/Sub, Kafka, or AWS SNS to support real-time data processing. • Developing integrations with Customer Data Platforms (e.g., Twilio Segment, RudderStack) and marketing automation systems. • Collaborating with engineers, analysts, and data scientists to build data solutions that support advanced use cases like real-time personalization, predictive scoring, and segmentation. • Ensuring all data initiatives are aligned with the product roadmap and prioritized to deliver measurable value for customers. • Defining strategies for multi-tenant SaaS data solutions to ensure scalability, performance, and security. • Leading technical initiatives to adopt new technologies and best practices for data engineering. • Ensuring data quality, governance, and compliance with industry standards and regulations. Skills & Qualifications • 8+ years of professional experience in data engineering, with a focus on batch and streaming data architectures. • Expertise in building scalable data pipelines and data processing frameworks. • Proficiency in Python and modern ETL tools like GCP Cloud Dataflow, Fivetran, dbt, and Apache Spark. • Experience with cloud-based data platforms (e.g., BigQuery, Snowflake, Redshift, Databricks). • Strong understanding of CDPs and tools like Twilio Segment or RudderStack. • Hands-on experience with streaming tools like GCP Pub/Sub, Kafka, or AWS SNS is highly desirable. • Experience with multi-tenant SaaS architecture is a strong plus. • Excellent communication skills and a collaborative approach to solving complex problems. What Kenect Offers! • Health, Dental, Vision, Life & Disability Insurance • Your birthday is a paid day off • Onsite gym • Breakroom full of snacks and drinks • Convenient location next to freeway entrance/exit We believe in hiring self-motivated team members who can run alongside us without needing to be “managed” along the way. Yes, we have managers and 1:1s. Yes, we believe in giving open two-way feedback. We also believe in having team members who can run without the daily guidance that some companies prefer. Kenect is an equal opportunity employer. We are an organization comprised of people of all kinds of backgrounds, and we believe this mix is precisely what makes us strong. All employment decisions at Kenect are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, family or parental status, or any other status protected under federal, state, or local law.