Data engineer jobs in Burnsville, MN - 884 jobs

Role: Data Governance Lead Full-Time Role Work Model: Hybrid Duration: Permanent Main Duties/Responsibilities Define and operate the data governance policies that support multiple data domains. Implement the data governance and master data management vision using MS Purview, Databricks Unity Catalog and Profisee, promoting the role of governance and enforcing policy, while following data governance best practices. Develop and communicate Data Governance policies to all relevant stakeholders, and provide training and guidance as needed in concert with our Learning and Development (L&D) team. Provide authority for all Data Governance oversight and support for Asset Management to ensure awareness across the organization and drive decisions for data standards and policies. Understand various data storage solutions, including extract, load and transform technologies built using our Databricks Lakehouse architecture on MS Azure, working with the Data Engineering team as needed. Collaborate with data engineers, data scientists, and business units to help solve their analytical needs and ensure data quality and consistency. Oversee the processes, policies, and standards organizations use to manage their data, and ensure compliance with internal and external regulations and requirements. Monitor and measure the effectiveness and maturity of the data governance program, and report on key performance indicators and metrics. Identify and implement opportunities for improvement and innovation in data governance. Required Qualifications A bachelor's degree in computer science, information systems, business administration, or a related field. At least 5 years of experience in data governance, data quality, data management, or a similar role. Knowledge of data governance frameworks, principles, and methodologies. Experience with data governance tools, such as data catalogs, data dictionaries, data lineage, data quality, and data security. Strong communication, collaboration, and leadership skills, with the ability to influence and drive change across the organization. Analytical and problem-solving skills, with the ability to identify and resolve data issues and risks. A passion for data and a desire to continuously learn and improve. Comfortable working in a high volume, fast-paced, rapidly changing, results-oriented work environment. Preferred Qualifications Experience with project management and scrum tools in an Agile environment, especially those in the MS Azure stack (Azure DevOps). Experience working with Unity Catalog, MS Purview, and/or Profisee Experience working with offshore contractor resources Experience presenting data for C-level stakeholders. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

is remote. Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities Gain exposure to a variety of program/project situations to develop business and organizational/planning skills Retain knowledge gained and performance feedback provided to transfer into future work Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions Collaborate with internal teams to collect, analyze, and automate data processing Leverage AI models, including LLMs, for developing intelligent solutions that enhance data-driven decision-making processes for both internal projects and external clients Leverage machine learning methodologies, including non-linear, linear, and forecasting methods to help build solutions aimed at better understanding the business, making the business more efficient, and planning our future Work under the guidance of a variety of Data Science team members, gain exposure to developing custom data models and algorithms to apply to data sets Gain experience with predictive and inferential analytics, machine learning, and artificial intelligence techniques Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members and end users Contribute to automating business workflows by incorporating LLMs and other AI models to streamline processes and improve efficiency Integrate AI-driven solutions within existing systems to provide advanced predictive capabilities and actionable insights Learn to work individually as well as in collaboration with others Desired Skills/Experience: Bachelor's degree is required in the field of Statistics, Computer Science, Economics, Analytics, or Data Science preferred 1+ year of experience preferred Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred Combination of relevant experience, education, and training may be accepted in lieu of degree Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $90,000 - $125,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

WHO WE ARE This position is eligible for a hybrid (both remote and onsite) telework arrangement. Candidate's permanent residence must be in Minnesota or Wisconsin. We are the Metropolitan Council, the regional government for the seven-county Twin Cities metropolitan area. We plan 30 years ahead for the future of the metropolitan area and provide regional transportation, wastewater, and housing services. More information about us on our website. We are committed to supporting a diverse workforce that reflects the communities we serve. Metropolitan Transportation Services conducts planning for the regional transportation system that includes highways, transit, aviation, freight, and bicycle and pedestrian connections. The Metropolitan Council is the region's federally designated Metropolitan Planning Organization. How your work would contribute to our organization and the Twin Cities region: The Data Scientist will support multi-modal transportation planning in the Minneapolis and St. Paul region through innovative approaches to collecting and analyzing transportation data and the development and application of cutting-edge travel forecasting models and analysis tools. The Data Scientist will join a vibrant travel research and modeling team working on travel demand forecasting, travel behavior surveys, and creative analysis of all kinds of transportation data to drive planning and policy analysis. What you would do in this job Perform technical, statistical, and analytic tasks that support long-range transportation planning and research on regional transportation issues (for example: emerging transportation modes and technologies, generational changes in travel behavior, disparities in transportation access). Develop visualizations of transportation data and performance measures. Develop and apply cutting-edge transportation models that assess the region's future. Develop transportation forecasts at the regional, corridor, and project level. Improve workflows across the department by developing applications, processes, and analyses for all sorts of data. Process, clean, and code transportation data. Analyze, examine, and visualize spatial information in static and interactive maps. Perform geocoding, spatial data manipulation, and spatial data analysis. Collaborate with planners, researchers, and policy makers. Develop public-facing reports and web-based, interactive data visualization, analysis, and dissemination tools in partnership with internal and external partners. Respond to requests for data and information, including requests from the media, other Council staff, or local partners by summarizing data in a clear, coherent manner. Be a contributory team member in a multi-disciplinary team. Make presentations to the Transportation Committee and other Council advisory and technical committees, as needed. Review scholarly articles and technical papers in academic and industry databases/journals. Promote a culture of creativity, life-long learning, and continuous improvement. Promote a culturally diverse and inclusive work environment that advances racial equity. What education and experience are required for this job (minimum qualifications) Any of the following combinations in completed education (degree field of study in Mathematics, Analytics, Data Science, or related field) and experience (in statistical and/or machine modeling and/or developing web-based interactive data visualization tools): High school diploma/GED with seven years of experience Associate degree with five years of experience Bachelor's degree with three years of experience Master's degree with one year of experience What additional skills and experience would be helpful in this job (desired qualifications): Experience performing and communicating data analysis and statistical modeling of transportation data Experience working with transportation data and models Experience in programming and modeling languages (R or Python preferred) Experience in data mining; passive and/or "big" data; structured, unstructured, and semi-structured data Experience working and collaborating in diverse, multicultural, and inclusive environments. What knowledge, skills and abilities you should have within the first six months on the job: Knowledge of statistical analysis techniques (regression analysis, survival analysis, time-series modeling, etc.) Knowledge of database systems design and maintenance Knowledge of web-based interactive tool development Knowledge of computer programming (i.e. R, Python) Knowledge of passive transportation (i.e. Streetlight Data) and transportation survey data Skills in applied mathematics and statistics Skills in data visualization (i.e. 'ggplot2' package in R, Shiny, Tableau, Dash/Plotly in Python) Skills in version control and collaboration in Git Skills in data mining with structured, unstructured, and semi structured data Skills in GIS/Spatial analysis (i.e. ArcGIS, QGIS, ArcPy, Geopandas) Ability to read and understand complex academic and technical papers Ability to write summary reports, technical papers, and literature reviews Ability to synthesize technical information in a useable way that facilitates good policy and planning decisions Ability to plan workflow and prioritize work tasks Ability to establish and maintain effective working relationships with internal and external stakeholders Ability to exercise sound professional judgment and promote an equitable, positive, and respectful professional environment What you can expect from us: We offer the opportunity to make a difference and positively influence the Twin Cities metropolitan area. We encourage our employees to develop their skills through on-site training and tuition reimbursement. We provide a competitive salary, excellent benefits and a good work/life balance. More about why you should join us! Additional information Union/Grade: AFSCME/Grade G FLSA Status: Exempt Safety Sensitive: No What your work environment would be: You would perform your work in a standard office setting. What steps the recruitment process involves: We review your minimum qualifications. We rate your education and experience. We conduct a structured panel interview. We conduct a selection interview. Once you have successfully completed the steps above, then: If you are new to the Metropolitan Council, you must pass a drug test (safety sensitive positions only) and a background check which verifies education, employment, and criminal history. A driving record check and/or physical may be conducted if applicable to the job. If you have a criminal conviction, you do not automatically fail. The Metropolitan Council considers felony, gross misdemeanor and misdemeanor convictions on a case-by-case basis, based on whether they are related to the job and whether the candidate has demonstrated adequate rehabilitation. If you are already an employee of the Metropolitan Council, you must pass a drug test (if moving from a non-safety sensitive position to a safety sensitive position) and criminal background check if the job you're applying for is safety sensitive, is a supervisory or management job, is in the Finance, Information Services, Audit, or Human Resources departments, or has access to financial records, files/databases, cash, vouchers or transit fare cards. A driving record check and/or physical may be conducted if applicable to the position. IMPORTANT: If you make a false statement or withhold information, you may be barred from job consideration. The Metropolitan Council is an Equal Opportunity, Affirmative Action, and veteran-friendly employer. The Council is committed to a workforce that reflects the diversity of the region and strongly encourages persons of color, members of the LGBTQ community, individuals with disabilities, women, and veterans to apply. If you have a disability that requires accommodation during the selection process, please email .

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of the Mankato, MN; Lakeville, MN; Bloomington, IL office. The contributions you will make: This position is responsible for building advanced analytics tools that utilize the data pipeline to provide actionable, high-impact insights for decision making. Delivers processed data to end-users, including business intelligence analysts and business stakeholders who consume the data via interactive dashboards, reports and other tools. Works cross-functionally to define analytical requirements, ensuring that data solutions effectively empower informed, data-driven decision-making across departments. Serves as a subject matter expert, providing technical guidance and support to less tenured team members. A typical day: Data Engineering Develops complex data models and data pipelines for research, reporting and machine learning. Conceptualizes and generates infrastructure that allows data to be accessed and analyzed. Maintains and optimizes the performance of the data User Interface layer to ensure accurate, reliable and timely delivery of key insights for decision making. Models data sources to help draw a more comprehensive picture of the data that enables powerful data analysis and reporting. Leads the development and execution of new concepts and proof of concept designs. Conducts research to answer business questions related to data and the data warehouse. Employs a variety of SQL languages to bring data from multiple systems together into the user interface layer. Generates automated, repeatable and stable processes to support business requests in the user interface layer. Proactively identifies and resolves data integrity issues between the data warehouses and the original data sources. Continuous Improvement and Best Practices Stays current on trends and industry best practices, proactively incorporating new insights into the design, implementation and improvement of internal processes improvements. Drives the automation of manual processes and the optimization of data delivery and quality. Works cross-functionally with Data and Business Technology teams to formulate best practices. Evaluates emerging tools, platforms and methodologies. Fosters innovation and drives the adoption of new technologies that enhance team and operational effectiveness. Advances strategic initiatives by providing thought leadership and building alignment around long-term data strategy. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Supports and trains other team members, acting as a subject matter expert for more complex technical issues and guiding less tenured team members on problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2017 and above), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies preferred. Advanced SQL server knowledge of T-SQL and OLTP topics such as normalization, data types, query tuning, indexing, constraints and query plans, etc. Advanced knowledge and experience in Cloud computing (MS Azure). Solid experience working in Microsoft Fabric. Advanced knowledge and experience in creating stored procedures, views, functions, T-SQL, SQL Scripting. Solid experience with data warehouses, APIs, ETL scripting and SQL scripting, Python, R-Script, PySpark, Notebooks. Advanced knowledge of SQL Reporting Services (SSRS) or comparable reporting tools experience. Ability to translate highly technical information into non-technical terms. Solid experience with software deployment, version control, and build automation (CI/CD pipelines). Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization. Provides thought and change leadership with the ability to influence cross-functional stakeholders to drive strategic initiatives. Effective interpersonal, analytical, organizational and planning skills. Ability to apply a methodical and logical approach to problem solving. Quick learner who thrives in a collaborative team environment. Ability to foster collaborative working relationships across the organization. Demonstrates initiative to remain technically competent by keeping abreast of industry best practices. Ability to work independently and collaboratively with other teams to achieve goals and represent the business. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,100-$139,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Opportunity available for a Contract Front-End Engineer to help build designer-facing GenAI-powered tools that accelerate the design process. This role focuses on developing high-quality frontend experiences that connect designers and trend analysts to emerging trend data, enabling fast, accurate insight discovery and decision-making. W2 only - No C2C or third-party vendors. You will collaborate closely with product, UX, and data teams to deliver highly usable, visually compelling applications that support complex data exploration and AI-driven workflows. Required Qualifications 5+ years of professional front-end engineering experience Strong expertise in TypeScript and React.js Experience building interactive data visualization and analytics applications Ability to work effectively in a fast-paced Agile contract environment Experience collaborating with UX and Design teams on user-centered application development Experience working in containerized environments (Docker/Kubernetes preferred) Hands-on experience or strong working knowledge of GenAI frameworks and patterns, including: LangGraph, LangChain, Google GenAI, or similar Context Engineering, RAG, and Agentic AI Familiarity with platforms such as ChatGPT, Gemini, or other commercial AI tools ITR Group offers a competitive compensation and benefits package, including medical, dental, and 401(k) for eligible employees. The W2 pay range for this type of role is approximately $90.00 - $100.00 per billable hour. This range is an estimate and not a guarantee of compensation. The final rate will be determined by factors such as experience, market trends, and specific job assignments. Discover more about how ITR Group connects top talent with leading client opportunities.

DOCSI is seeking a talented, driven software engineer to join our engineering team. We need a passionate and creative mind to help us continue building our cutting edge surgical waste elimination platform. The person who accepts this role will not only work closely with our Director of Engineering, but they will also benefit from full exposure to the inner workings and decision making challenges of an early stage startup. They will inevitably be called upon to contribute to significant decisions that impact the technical direction of the company. They should also be willing and able to grow into a technical or people management role as the engineering team grows. This role will: Work alongside the Director of Engineering and other DOCSI engineers to expand and maintain our software solution. Design and build new user experiences that streamline the complex and confusing process of managing surgical waste. Inform the creation of machine learning tools to amplify the quality of surgical waste reduction recommendations. Create seamless data pipelines and integrations that enable our highly scalable, always available platform. Influence and guide critical design discussions that determine the future direction of our product. Gain access and connections to key members of the Twin Cities startup community. Help shape the culture of a new and growing engineering team. Minimum Qualifications: 4+ years of experience working as a software engineer or similar role Experience in web development with one or more of the following languages/frameworks: PHP, React, Python, Java Expertise working with relational database systems such as MySQL or PostgreSQL Demonstrable experience leading technical projects from start to finish (with or without assistance from other team members) An understanding of building systems to scale with large, often inconsistent data imports Action driven self-starter who enjoys improving existing processes A lifelong learning mindset with a desire to explore new ideas and connect them to their work Ability to work in an often ambiguous, fast-paced environment Bonus Qualifications: Previous work with PHI or other sensitive data. Experience undergoing compliance audits is even better Experience in designing seamless, mobile-friendly user experiences A history or deep interest in working in startups or early-stage companies A background/experience in healthcare and/or supply chain (Extra plus) Experience specifically with Laravel, Apache Spark, Terraform, and/or AWS cloud services Salary and Benefits: Expected salary range is between $100,000 - $140,000 An equity package relative to the candidate's skills and experience Unlimited vacation policy A healthcare stipend is available, full healthcare benefits will be available in 2026

Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations: * Indianapolis, IN * Minneapolis, MN * Washington D.C. Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection. Summary Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations: * Indianapolis, IN * Minneapolis, MN * Washington D.C. Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection. Overview Help Accepting applications Open & closing dates 01/13/2026 to 01/20/2026 Salary $61,722 to - $97,087 per year Pay scale & grade GS 9 - 11 Locations 2 vacancies in the following locations: Washington, DC Indianapolis, IN Minneapolis, MN 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 Permanent Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Not Required Drug test No Financial disclosure No Bargaining unit status No Announcement number HRM-DE-12863509-SNM Control number 854179100 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants. Clarification from the agency U.S. Citizens, Career Transition Assistance Plan DHS employees, Reemployment Priority List, Interagency Career Transition Assistance Plan Federal Employees. Duties Help This position starts at a salary of $61,722.00 (GS-09, Step 1) to $97,087.00 (GS-11, Step 10) with promotion potential to $138,370.00 (GS-13 Step 10). Typical duties include: * Providing technical assistance and support to management through the application of advanced data science techniques including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI) to process and extract insights from structured and unstructured data and provide guidance for solutions to a variety of complex challenges to the Agency's Human Capital programs that have a significant impact on personnel decisions. * Supporting the application of quantitative, computer science, mathematical, and statistical skills to interpret extremely large and unstructured data sets, the results of which will be used for forecasting critical problems and making data-driven decisions regarding the administrative and programmatic aspects of HRM and CBP's operations and management. * Assisting in the development of innovative strategies on measurement of the design, development, deployment, maintenance, and enhancement of large-scale projects to analyze programmatic data and forecast the effects of alternative courses of actions and programmatic gaps. * Performing quantitative and qualitative analysis and data quality assurance using statistical, business intelligence, data analysis, and/or AI software and computer programs (e.g., R, Python, ChatGPT, PowerBI, Tableau, Cognos, SQL, Databricks). Requirements Help Conditions of employment * You must be a U.S. Citizen to apply for this position * Males born after 12/31/1959 must be registered with Selective Service * Primary U.S. residency for at least three of the last five years (additional details below) * All pre-employment processes will be conducted in English * You may be required to pass a background investigation * CBP follows the DHS Drug-Free Workplace Plan for drug testing procedures * As an employee of CBP, you will be joining a workforce that is dedicated to accomplishing our mission while maintaining the trust of our Nation by strictly adhering to all government ethics standards. Your conduct will be subject to the ethics rules applicable to all Executive Branch employees, and to CBP employees specifically, as well as the criminal conflict of interest statutes. Once you enter on duty, these rules include obtaining approval for outside employment or business activity, to ensure such employment or business activity is not prohibited and does not interfere or conflict with performance of your official duties. Please review further details via the following link. * DHS uses E-Verify, an Internet-based system, to confirm the eligibility of all newly hired employees to work in the United States. Learn more about E-Verify including your rights and responsibilities. * Bargaining Unit: This position is not covered under the bargaining unit. Qualifications Basic Requirement: You must provide supporting documentation in your application to show you meet the basic requirement below: A. 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. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. You qualify for this position if you meet the basic requirement listed above and possess the experience as described below: Experience: You qualify for the GS-09 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: * Performing data quality assurance and quantitative and qualitative analysis using statistical software and programming languages such as R or Python. * Creating reports, briefings, and presentations that include data visualization and dashboards to communicate findings effectively. * Providing technical assistance and support to address challenges in human capital programs, including recruitment, hiring, and retention. * Assisting in the preparation of briefings, presentations, and reports for supervisors and higher-graded specialists to communicate findings and recommendations. * Communicating technical and analytical findings to individuals with varying levels of technical expertise. You qualify for the GS-11 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: * Applying advanced data science techniques, including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI), to process and extract insights from structured and unstructured data. * Gathering, processing, and converting raw and unstructured data into clean, organized information for analysis. * Participating as a team member in the development of innovative strategies for large-scale projects to analyze programmatic data and forecast the effects of alternative courses of action. * Analyzing and interpreting data to identify programmatic gaps and develop solutions to improve organizational efficiency and productivity. * Providing technical assistance and support to address challenges in human capital programs, including recruitment, hiring, and retention. NOTE: Your resume must explicitly indicate how you meet this requirement, otherwise you will be found ineligible. Please see the "Required Documents" section below for additional resume requirements. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. You must meet all qualification requirements, including education if applicable to this position, subject to verification at any stage of the application process by 01/20/2026. The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office. Background Investigation: U.S. Customs and Border Protection (CBP) is a federal law enforcement agency that requires all applicants to undergo a thorough background investigation prior to employment in order to promote the agency's core values of vigilance, service to country, and integrity. During the screening and/or background investigation process, you will be asked questions regarding any felony criminal convictions or current felony charges, the use of illegal drugs (e.g., marijuana, cocaine, heroin, LSD, methamphetamines, ecstasy), and the use of non-prescribed controlled substances including any experimentation, possession, sale, receipt, manufacture, cultivation, production, transfer, shipping, trafficking, or distribution of controlled substances. For additional information on the preemployment process, review the following link: Applicant Resources | CBP Careers Residency: There is a residency requirement for all applicants not currently employed by CBP. Individuals are required to have physically resided in the United States or its protectorates (as declared under international law) for at least three of the last five years. If you do not meet the residency requirement and you have been physically located in a foreign location for more than two of the last five years, you may request an exception to determine if you are eligible for a residency waiver by meeting one or more of the following conditions: * Working for the U.S. Government as a federal civilian or as a member of the military * A dependent who was authorized to accompany a federal civilian or member of the military who was working for the U.S. government * Participation in a study abroad program sponsored by a U.S. affiliated college or university * Working as a contractor, intern, consultant or volunteer supporting the U.S. government Probationary Period: All employees new to the federal government must serve a one year probationary period during the first year of his/her initial permanent federal appointment to determine fitness for continued employment. Current and former federal employees may be required to serve or complete a probationary period. Education Please see the Qualifications and Required Documents sections for more information if education is applicable to this position. Additional information The vacancy questionnaire includes four short, free-response essay questions. This provides an opportunity for you to highlight your dedication to public service for the hiring manager and agency leadership (or designee(s)). While your responses are not required and will not be scored, we encourage you to thoughtfully address each question. Please provide a response of 200 words or less to each question. You will be asked to certify that you are using your own words and did not use a consultant or artificial intelligence (AI) such as a large language model (LLM) like ChatGPT or Copilot. To preview the questionnaire please visit: ******************************************************** Positions with known promotion potential do not guarantee promotion, nor is the promise of promotion implied. The Department of Homeland Security encourages persons with disabilities to apply, to include persons with intellectual, severe physical or psychiatric disabilities, as defined by 5 CFR § 213.3102(u), and/or Disabled Veterans with a compensable service-connected disability of 30 percent or more as defined by 5 CFR § 315.707. Veterans, Peace Corps/VISTA volunteers, and persons with disabilities possess a wealth of unique talents, experiences, and competencies that can be invaluable to the DHS mission. If you are a member of one of these groups, you may not have to compete with the public for federal jobs. To determine your eligibility for non-competitive appointment and to understand the required documentation, click on the links above or contact the Servicing Human Resources Office listed at the bottom of this announcement. 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. If you meet the minimum qualifications, you will be placed in one of the following categories: * Best Qualified: Applicants possessing experience that substantially exceeds the minimum qualifications of the position and demonstrate high proficiency in all of the critical competencies, including all Selective Placement Factors (SPF), and appropriate Quality Ranking Factors (QRF) as determined by the job analysis. * Well-Qualified: Applicants possessing experience that exceeds the minimum qualifications of the position and demonstrates acceptable proficiency in all of the critical competencies, including all SPF's and appropriate QRFs as determined by the job analysis. * Qualified: Applicants possessing experience that meets the minimum qualifications of the position and demonstrate basic proficiency in most of the critical competencies, including all SPFs and appropriate QRFs as determined by the job analysis. Your resume and supporting documentation will be reviewed to ensure you meet the minimum qualification(s). Your resume must support that you meet both specialized experience requirements described in the qualifications section and are proficient in the skills/competencies. If you meet the minimum qualifications, your experience, education, and training will be rated using a Structured Resume Review process. Your final rating will be based on a Structured Resume Review conducted by Subject Matter Experts (SME). This Structured Resume Review requires that candidates resume must demonstrate the competencies noted below: * Technical Competence * Data Management * Reasoning * Technology Awareness * Data System Failure to demonstrate sufficient detail in the body of your resume may impact your final rating. Please note you are not required to provide specific narrative responses to the skills and competencies described in this section. If you are best qualified, you may be referred to the hiring manager for consideration and may be contacted for an interview. Veterans: Qualified veterans who have a compensable service-connected disability of at least 10% are listed in the best-qualified category, except when the position being filled is scientific or professional at the GS-09 grade level, or higher. This position is considered scientific/professional. Other 10 point preference eligibles and veterans with 5 point preference who meet the eligibility and qualification requirements are placed above non-preference eligibles within the category in which they qualify. View information on veterans' preference. Agency Career Transition Assistance Program (CTAP) and Interagency Career Transition Assistance Program (ICTAP) Eligibles: If you have never worked for the federal government, you are not CTAP/ICTAP eligible. View information about CTAP/ICTAP eligibilityon OPM's Career Transition Resources website. To be considered eligible under CTAP/ICTAP, you must be placed in the Well-Qualified category for this position, as described within this announcement. In addition, you must submit the supporting documents listed under the Required Documents section of this job announcement. 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 * Your resume: A resume describing your job-related qualifications is required and will be used for the purpose of reviewing your qualifications and determining what training, if any, would be required when placed. A resume in English is required. It must contain your full legal name, phone number, relevant work history including a detailed description of your duties, the dates you performed those duties (MM/DD/YY), your hours worked per week, job title, as well as series, grade, and salary (if applicable). For additional required items, see the link above. It is recommended that you upload your resume as a PDF instead of a Word document to ensure document quality. Ensure that your uploaded resume is not a password protected document, to include Office 365 passwords. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. * Your responses to the job questionnaire: ******************************************************** * Your transcripts: All applicants are required to submit a copy of your college transcript (unofficial is acceptable at this time; however, official copies will be required prior to entrance on duty) or a list of coursework with hours completed provided from the institution. If you are a current CBP employee within the position series announced, transcripts will not be required at the time of application; however, education will be verified if you are selected and you may be required to submit transcripts at that time. Education must be from an institution accredited by an agency recognized by the U.S. Department of Education. Education obtained from a foreign university or college is not creditable unless it has been evaluated by an organization that specializes in interpretation of education credentials. Note: If submitting documentation of an evaluation, transcripts are still required. For a listing of some accrediting agencies, please see ********************************************************************** See ********************************************************************* for more information. * Are you claiming special priority selection rights under the Agency Career Transition Assistance Program (CTAP), Interagency Career Transition Assistance Program (ICTAP), or the Reemployment Priority List (RPL)? You must submit a separation notice; your most recent SF-50 (noting your current position, grade level and duty location); a copy of your most recent performance rating; an agency certification that you cannot be placed after injury compensation has been terminated; an OPM notification that your disability annuity has been terminated; or a Military Department of National Guard Bureau notification that you are retired under 5 U.S.C. 8337(h) or 8456; or RPL registration documentation. * Are you a veteran? To apply veterans' preference you must submit proof of eligibility as appropriate for your preference type: * Five Point Preference: DD 214 listing the character of service and either qualifying medal(s) or service period. * Ten Point Preference: DD 214 showing character of service and supporting documentation as listed on the Standard Form 15 (application for 10 Point Veterans' Preference). Submitting an SF-15 with your application is encouraged. Veterans with a service-connected disability must also submit a VA Disability Award letter dated 1991 or later, OR supporting documentation as listed in the SF-15. * If you are currently serving on active duty, you must submit a written statement from the armed forces certifying your dates of service, rank, expected character of service, and anticipated date of separation. If you apply with a written statement at this stage, your preference will be verified by a DD 214 upon separation from the military. * View more veterans' information. * Are you a current or former federal employee? If yes, it is recommended that you submit a copy of your SF-50(s) (Notification of Personnel Action) to support your experience. Examples of appropriate SF-50s include promotions, within-grade increases and accessions. Retired former federal employees are required to submit your retirement SF-50 and encouraged to submit your most recent annuity statement. * Are you a current or former political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee? Submit a copy of your initial and termination SF-50s. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career. The Impact You'll Make in this Role As a Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation. Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies. Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles. Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques. Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues. Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs. Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching. Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university. Additional qualifications that could help you succeed even further in this role include: A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision. Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation. Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment. Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems. Experience with a wide range of programming languages including Python and C++. Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing. Excellent interpersonal skills and the ability to excel in cross-functional environments. Work location: On site in Woodbury, MN Travel: May include up to 10% domestic Relocation Assistance: May be authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: ******************************************************************* Faith Posting Date Range 11/14/2025 To 12/14/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.Learn more about 3M's creative solutions to the world's problems at ********** or on Instagram, Facebook, and LinkedIn @3M.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Pay & Benefits Overview: https://**********/3M/en_US/careers-us/working-at-3m/benefits/3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level. As a Lead Data Scientist, you'll be responsible for applying innovative statistical and machine learning methods in a scientifically rigorous manner to dive into the largest and most complex data across the enterprise to answer the most difficult questions that are foundational to driving real-world value by offering deep insight into every aspect of the business. In this role, you will have the opportunity to lead the technical direction for the data science team on the most important strategic efforts to provide analytic thought leadership that drives a data-grounded perspective to help Best Buy think critically and differently about all aspects of our business to improve our core capabilities and unleash the next generation of customer experiences that will transform the way Best Buy operates day-to-day. What you'll do Leading the application of scientific methods to solve real-world business problems using data across multiple business domains Developing and implementing cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business including market growth, retail portfolio, customer retention, services, etc. Employing broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities Leading discussions with business partners to identify the biggest opportunities to bring Best Buy to the next level and influence key decisions around real products that impact and improve the lives of millions of people Acting as a mentor for junior data scientists, assign tasks and review for quality and completion Conducting discussions with technical and non-technical product team members to determine feasibilities of recommended solutions. Collaborating with other engineers and product team members to implement and deploy scalable solutions. Presenting results of any analyses in a manner that is interpretable and technical approach of machine learning product design to team and leadership. Basic qualifications Bachelor's degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent experience. 6+ years of experience in data science, data analysis, data mining or other similar business functions. *Advanced degrees in relevant fields may be counted towards experience requirements. 2+ years of experience working in cloud platforms (GCP, AWS, Azure) Advanced proficiency with at least one data science/analytics programming language (Python, R, Julia) Advanced skills in data wrangling, validating data and solutions, supervised & unsupervised learning, AI & ML frameworks (PyTorch, TensorFlow), designing complex algorithms and statistical models, and applied mathematics & statistics Preferred qualifications Master's degree or Ph.D in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) Experience using high performance machine learning and/or data mining frameworks Experience building distributed data processing pipelines (e.g. Apache Spark, Apache Beam) 5-8 years hands-on data science experience (in addition to advanced degree) Ability to effectively communicate technical information to a wide spectrum of cross-functional team members What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include: Competitive pay Generous employee discount Physical and mental well-being support About us As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™ Best Buy is an equal opportunity employer.

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. 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 salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. 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 salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. 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 will accept applications until 1/31/2026 or until the positions are filled.

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

HealthPartners is hiring a Data Engineer Senior. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. As part of their role, data engineers are responsible for reducing manual data work and improving productivity; they employ and test innovative tools, techniques and architectures to detect patterns and automate common or repetitive data preparation and integration tasks. ACCOUNTABILITIES: All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning. Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand Collaborate with other developers to design technology solutions that achieve measurable results at scale Collaborate with data scientists to train, develop and operationalize learning models Build, design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets for analysts and data scientists Evaluate and recommend technology and frameworks for building cross product data assets to optimize for flexibility, long-term viability, and time to market Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices Anticipate the need for data governance and work with designated committees to ensure that data modeling and data handling procedures are compliant with applicable laws and policies across data pipeline. Leads root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement advanced solutions that prevent recurring points of failure. Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines. Identifies multiple, complex data sources and builds advanced code to extract raw data from identified upstream sources using query languages, tools, or machine learning algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline. Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data. Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Participate in code reviews and champion the adoption of best practices Support the data environment by releasing new features, resolving issues for users, and working with other technology teams Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades). Applies in-depth knowledge of the business to design a data model that is appropriate for the project and translates business requirements into design specification documents to model the flow and storage of data across multiple data pipelines. Data engineers perform other duties as required, to meet team sprint goals REQUIRED SKILLS/Qualifications: Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4 or more years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable 5 or more years of programming experience with command in at least two languages: SQL, Python, Java, R or Spark Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server 4 or more years; years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar) 3 or more years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in Azure. Experience using Git, or a comparable code repository Must be motivated, self-driven, curious, and creative Must be skilled communicator, and demonstrate an ability to work with end users and business leaders Demonstrate the ability to support and complement the work of a diverse development and/or operations team Experience working in a collaborative, cross-functional team; Active participation in sprint reviews Expert Knowledge and a minimum of four years' experience in the following domains: Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS: Pharmacy data experience Knowledge of health care operations Exposure to agile/scrum Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets Expert in Relational databases like Oracle, SQL server Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation Expert in areas of CI/CD, Continuous testing, and site reliability engineering. Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. Expert in event streaming tools like NiFi, Kafka and Flink Expert in data processing tools, like Apache's Sqoop, Spark and Hive Expert in Document or NoSQL datastores, particularly MongoDB Expert in Power BI data models using advanced Power Query and DAX Expert in in AI/ML Ops Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.) Collaborate effectively with product management, program management, engineers, and stakeholders. Excellent analytical and critical thinking skills Ability to influence without authority and thrive in an ambiguous environment.

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description:- At least 5 years of hands on experience in Informatica At least 3 years of experience in Design and Architecture concepts and Data modelling Experience and desire to work in a Global delivery environment Understanding of Unix/Linux system, file systems, shell scripting Experience with design and implementation of ETL/ELT framework for complex warehouses/marts Hands-on development mentality, with a willingness to troubleshoot and solve complex problems Interacting with the business users to understand the challenges faced by the users and documenting/communicating the same to the BI IT stakeholders. Ability to work in team in diverse/ multiple stakeholder environment Experience in Cards and Payments domain Strong analytical skills Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience within the Information Technologies. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume.

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

Qualifications •Bachelor's degree in Business/Management, Finance, Information Science, Mathematics/Statistics, Economics, or related field •Travel industry experience highly preferred •Experience in data modeling, data analysis, data consolidation, and data management •Advanced technical skills with experience utilizing report generation and visualization technologies (like IBM Cognos, Tableau, etc.) •Experience conducting complex analysis on large sets of data, including the understanding of data flow and integration of various data feeds to make decisions •Previous experience in a client facing or consultative role •Ability to establish rapport and effectively influence at all levels within an organization •Ability to communicate effectively and present complex data to a wide variety of audiences •Highly organized, with ability to manage projects and prioritize multiple tasks •Demonstrated leadership and initiative\: leading self, teams, and the client •Sound judgment, advanced problem solving and decision making capabilities •Drive to deliver timely resolution to issues through diagnostics, testing, action plans, recommendations, and implementation •Experience working in a highly matrixed and global environment with a variety of key stakeholders *LI-NK As a Consultant on the CWT Business Insights team, you will take a consultative approach to deliver data insights to solve business problems. You will manage all aspects of two Fortune 500 global client's travel data and reporting programs. This role resides within the global consulting organization, partnering with account teams and the client to optimize travel costs and manage global corporate travel programs. You will increase the client's analytics maturity level by implementing a managed reporting program, developing and enforcing management information standards, establishing data quality processes and procedures, distributing recurring reporting, providing complex ad hoc analyses, and delivering data insights. At Carlson Wagonlit Travel, we have a unique and compelling culture as a global leader in business travel management that is defined by our people and supported by our Core Values. Our employees feel a genuine respect for one another, act with uncompromising integrity and feel proud of our global market leadership. They value working together, embrace opportunities for continuous learning and have an intense desire to serve customers. Description •Solve business problems by delivering complex analytical projects investigating key drivers in areas such as policy compliance, demand management, or supplier management and lead conversations to discuss findings and recommendations. •Implement analytic methodologies, models, reports and processes on behalf of client. •Responsible for client analytics, recurring and ad hoc reporting and recommendations; consult with and present outcomes of analyses to account teams and clients. •Design and develop dashboards that helps lead client to make informed business decisions. •Monitor the evolution of operational changes that will directly impact data collected and identify report developments required to maintain integrity. •Enforce compliance of data quality by working closely with local operations teams to identify and correct issues. •Communicate effectively across a variety of stakeholder groups, including both technical and non-technical audiences. •Establish and maintain relationships with client and internal stakeholders across multiple departments and functions. •Identify and champion innovation opportunities and areas to change or improve current practices, policies, or services. •Key owner in compilation, analysis, and presentation of recurring business reviews between account team and client.

Consultant, Reporting & Data Analysis - 180000X3) As a Consultant on the CWT Business Insights team, you will take a consultative approach to deliver data insights to solve business problems. You will manage all aspects of two Fortune 500 global client's travel data and reporting programs. This role resides within the global consulting organization, partnering with account teams and the client to optimize travel costs and manage global corporate travel programs. You will increase the client's analytics maturity level by implementing a managed reporting program, developing and enforcing management information standards, establishing data quality processes and procedures, distributing recurring reporting, providing complex ad hoc analyses, and delivering data insights. At Carlson Wagonlit Travel, we have a unique and compelling culture as a global leader in business travel management that is defined by our people and supported by our Core Values. Our employees feel a genuine respect for one another, act with uncompromising integrity and feel proud of our global market leadership. They value working together, embrace opportunities for continuous learning and have an intense desire to serve customers. Description •Solve business problems by delivering complex analytical projects investigating key drivers in areas such as policy compliance, demand management, or supplier management and lead conversations to discuss findings and recommendations. •Implement analytic methodologies, models, reports and processes on behalf of client. •Responsible for client analytics, recurring and ad hoc reporting and recommendations; consult with and present outcomes of analyses to account teams and clients. •Design and develop dashboards that helps lead client to make informed business decisions. •Monitor the evolution of operational changes that will directly impact data collected and identify report developments required to maintain integrity. •Enforce compliance of data quality by working closely with local operations teams to identify and correct issues. •Communicate effectively across a variety of stakeholder groups, including both technical and non-technical audiences. •Establish and maintain relationships with client and internal stakeholders across multiple departments and functions. •Identify and champion innovation opportunities and areas to change or improve current practices, policies, or services. •Key owner in compilation, analysis, and presentation of recurring business reviews between account team and client. Qualifications Qualifications •Bachelor's degree in Business/Management, Finance, Information Science, Mathematics/Statistics, Economics, or related field •Travel industry experience highly preferred •Experience in data modeling, data analysis, data consolidation, and data management •Advanced technical skills with experience utilizing report generation and visualization technologies (like IBM Cognos, Tableau, etc.) •Experience conducting complex analysis on large sets of data, including the understanding of data flow and integration of various data feeds to make decisions •Previous experience in a client facing or consultative role •Ability to establish rapport and effectively influence at all levels within an organization •Ability to communicate effectively and present complex data to a wide variety of audiences •Highly organized, with ability to manage projects and prioritize multiple tasks •Demonstrated leadership and initiative: leading self, teams, and the client •Sound judgment, advanced problem solving and decision making capabilities •Drive to deliver timely resolution to issues through diagnostics, testing, action plans, recommendations, and implementation •Experience working in a highly matrixed and global environment with a variety of key stakeholders*LI-NK Primary Location: MinnetonkaEmployment type: StandardJob Family: ConsultingScope: GlobalTravel: Yes, 5 % of the TimeShift: Day JobOrganization: Customer_GPS & ERMExperience Level: 3 to 5 years Job Posting: Jun 7, 2018 As an Equal Opportunity Employer/Affirmative Action employer, the organization will not discriminate in its employment practices due to an applicant's race, color, religion, sex, national origin, veteran status, disability status, sexual orientation, gender identity or any other federal, state or local protected class

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Salary Range The salary range for this position is $98,400 - $199,000 per year. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled. We are currently seeking a Cloud Data Engineer Lead which requires a high-level professional that is responsible for designing, developing, and maintaining the data architecture in our organization. This role is responsible for overseeing the technical aspects of data management, including data integration, processing, storage, and retrieval. The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, data product development, and data governance patterns to ensure the timeliness and quality of data. The role is responsible for ensuring that data is accurate, reliable, and available to Analysts, Data Scientists, and other stakeholders within our organization. Our Data Engineering teams work in a highly collaborative environments, engage in daily standups, operate within Agile development practices, and participate in a GitOps development model in that everything is code. We are an in-office working environment. For this role we are considering the following locations; Evansville IN, Chicago at 8750 W. Bryn Mawr (near Rosemont and the Cumberland Blue Line station), Lake Elmo MN, St. Paul MN, Minneapolis MN, and St. Louis Park MN. Key Accountabilities Key Accountability 1: Data Engineering and Architecture Strategic Leadership Provide direction for the organization's data engineering and architecture strategy. Make final decisions on data infrastructure design and tool selection, balancing business needs with technical feasibility. Collaborate on requirements gathering while owning the architectural vision and execution. Champion data management best practices across the organization. Key Accountability 2: Engineering Execution and Technical Implementation Write production-quality code and implement scalable ETL pipelines using tools like AWS, S3, Glue, Lambda, and Databricks. Apply business intelligence best practices such as dimensional modeling and distributed data processing. Design, build, and maintain modern cloud-based data platforms to support enterprise data needs including integrations, analytics, and AI. Key Accountability 3: Team Development and Cross-Functional Collaboration Bootstrap and grow the data engineering team, setting standards and mentoring new members. Translate business requirements into technical solutions, ensuring alignment with broader organizational goals. Enable data-driven decision-making by delivering reliable analytics pipelines and insights. Key Competencies for Position - Promotes Change - Actively seeks information to understand the rationale, implications, and impact for changes. Remains agile by quickly modifying daily behavior, leveraging resources, and trying new approaches to effectively embrace change. Willing to act quickly, learn and adjust as needed. Identifies and recommends changes to leadership to improve performance. Aligns activities to meet individual, team and organizational goals Strategy in Action - Breaks down larger goals into smaller achievable goals and communicates how they are contributing to the broader goal. Actively seeks to understand factors and trends that may influence role. Anticipates risks and develops contingency plans to manage risks. Identifies opportunities for improvement and seeks insights from other sources to generate potential solutions. Aligns activities to meet individual, team and organizational goals. Compelling Communication - Effectively and transparently shares information and ideas with others. Tailors the delivery of communication in a way that engages the audience and that is easy to understand and retain. Unites others towards common goal. Asks for others' opinions and ideas and listens actively to gain their support when clarifying expectations, agreeing on a solution and checking for satisfaction. Makes Decisions & Solves Problems - Takes ownership of the problem while collaborating with others on a resolution with an appropriate level of urgency. Collaborates and seeks to understand the root causes of problems. Evaluates the implications of new information or events and recommends solutions using decisions that are sound based on what is known at the time. Takes action that is consistent with available facts, constraints and probable consequences. Qualifications and Education Requirements BS. degree in a related field and 7 to 9 years professional experience OR a total of 7 plus years' experience as Senior Data Engineer, Senior Software Engineer, or equivalent. 5 plus years working in AWS Cloud (AWS Solution Architect Certification is a plus) and hybrid cloud environments. 7 plus years working with data warehouse platforms. Coding experience in SQL and scripting languages such as Python and Bash and expert working knowledge of the Spark platform, preferably in a cloud data platform environment such as Databricks. Experience working with large and complex data sets with multi-terabyte scale is a plus. Knowledge of Agile and GitOps methodologies Banking experience / knowledge is a plus Ability to communicate effectively, both orally and in writing, with clients and groups of employees to build and maintain positive relationships Strong leadership and communication skills. You must be able to collaborate with other teams, effectively manage projects, and communicate technical information to non-technical stakeholders. Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position. Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team! We can recommend jobs specifically for you! Click here to get started. If you're qualified for a position but need additional help with the application because of a disability, please email ************************** (This email will respond to accommodation requests only.)

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you.. Job Description: As a Principal Data Scientist, you will be the technical lead and primary "engine" of our data science initiatives. Reporting to the Director of Data Science, you are a high-level individual contributor responsible for solving our most complex, abstract business problems through advanced mathematical modeling. You will lead the end-to-end development of "Data Intelligence Products" - from high-dimensional forecasting and financial risk engines to ML-driven revenue optimization. While this is an IC role, you will set technical standard for the department, acting as a mentor to junior analysts and an architect for our predictive ecosystem. Responsibilities 1. Advanced Technical Execution (The Engine) Elite Predictive Modeling: Lead the research, design, and deployment of sophisticated models for time-series revenue forecasting, unit economics, and profitability. Risk & Uncertainty Quantification: Develop advanced statistical tools to predict financial risk and operational volatility, providing the business with probabilistic guardrails. Algorithmic Innovation: Move beyond standard libraries to build custom ML solutions that address the specific nuances of our finance and project data. Experimental Design: Architect rigorous A/B and multivariate testing frameworks to measure the causal impact of business decisions and product iterations. 2. Technical Architecture & Productization (The Bridge) Model Orchestration: Partner with the Data Engineering team to design the "last mile" of ML deployment-ensuring your models run reliably within our Snowflake/dbt environment. Seamless Integration: Ensure model outputs are elegantly integrated into Power BI semantic models, turning complex statistical distributions into actionable business signals. Code Excellence: Set the bar for the Data Science "Playbook," establishing rigorous standards for reproducible research, version control, and model validation. 3. Strategic & Technical Leadership (The Growth) Discovery & R&D: Proactively identify opportunities for ML/AI to drive ROI, staying ahead of industry trends in LLMs, deep learning, and predictive analytics. Abstract Problem Solving: Take high-level business queries from the Director or C-suite and translate them into mathematically sound, executable project plans. The Intelligence Stack: Expert-level mastery of Python and SQL. Extensive experience deploying production-grade models within a cloud environment (Snowflake preferred). The Ideal Candidate Profile Technical Mastery The ML Toolbelt: Deep expertise in the Python Data Science stack (e.g., scikit-learn, XGBoost, LightGBM) and deep learning frameworks (e.g., PyTorch or TensorFlow). Predictive Expertise: Deep experience in time-series forecasting, supervised learning, and causal inference. Time-Series & Forecasting: Mastery of libraries dedicated to financial and demand forecasting, such as Prophet, statsmodels, or sktime. MLOps & Deployment: Experience with model lifecycle management tools (e.g., MLflow, Weights & Biases) and deploying models via containers (Docker/Kubernetes) or as serverless functions. Statistical Logic: You don't just run models; you understand the "why" behind the math and can defend your methodology to technical and non-technical audiences. Mathematical Depth: Deep expertise in supervised/unsupervised learning, Bayesian statistics, time-series analysis, and causal inference. Generative AI & LLMs: Working knowledge of integrating LLMs (via LangChain, OpenAI API, or Hugging Face) into business workflows for unstructured data analysis. The Modern Data Stack: Proficiency in using Snowflake as a feature store and dbt for feature engineering. Business & Leadership Skills Finance Acumen: You understand the levers of a P&L and how predictive modeling impacts revenue and margin. Communication: Exceptional ability to simplify complex "black box" concepts for executive stakeholders. Qualifications 8-10+ years of experience in Data Science, with a track record of delivering high-impact predictive models in a corporate or production environment. Proven IC Leadership: Experience as a staff or principal-level contributor who has successfully led large-scale technical projects from concept to deployment. Modern Stack Experience: Deep familiarity with the Snowflake + dbt + Power BI ecosystem is a significant advantage. Proven track record of building and deploying predictive models using Python and SQL that achieved high business adoption. Toolkit Expertise: Hands-on experience with ML orchestration tools and automated testing for model performance (e.g., monitoring for Data Drift and Model Decay). Cloud Infrastructure: Experience with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker, or Databricks) and how they integrate with data warehouses like Snowflake. Advanced Education: PhD or Master's degree in a highly quantitative discipline (e.g., Physics, Mathematics, Statistics, Computer Science, or Economics). The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time. $117,500.00 - $206,700.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of either Bloomington, IL; Mankato, MN; or Lakeville, MN office locations. The contributions you will make: This position is responsible for building analytics tools that utilize the data pipeline to provide actionable insights for decision making. The incumbent operationalizes and maintains machine learning models developed by data scientists/quantitative analysts within the organization to ensure that the machine learning models or data analytics work product developed by data scientists are efficiently transitioned into robust, scalable and maintainable production systems. A typical day: Data Engineering Develops data models, data pipelines and streamlines the deployment of models into production environments that could include machine learning. Supports the design and implementation of Power BI (PBI) dashboards and semantic models, enabling intuitive visualization of advanced analytics Builds and maintains pipelines for data analytics projects that include machine learning, enabling seamless integration and delivery of model updates. Monitors the performance and accuracy of projects in production and performs regular maintenance to ensure they continue to meet business needs. Works closely with quantitative analysts to understand their models' requirements and provides the necessary infrastructure and tooling for model/data analysis training and experimentation. Optimizes performance of SQL queries, predictive models and data pipelines across both on-prem and cloud environments for speed, efficiency and cost-effectiveness. Designs, builds, deploys and maintains data integration pipelines in MS Azure and/or SQL Server Integration Service. Documents data engineering workflows, predictive analytics integration patterns, advanced Power BI development standards and MLOps processes to support transparency, reproducibility and efficient onboarding. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Stays up-to-date with the latest analytics and predictive analytics tools, technologies and best practices to continuously improve the machine learning operations pipeline. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Provides information and training to other team members. Serves as a resource for questions and problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2008, 2012, 2014, 2017, 2019), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies, preferred. Advanced knowledge of Python, R, and/or Java, with an emphasis on Python due to its extensive use in machine learning and data science. Advanced experience with machine learning frameworks (e.g., PyTorch) and algorithms, as well as the ability to understand and interpret models created by data scientists. Advanced experience in Power BI, including DAX development, data modeling, Power Query (M), and building enterprise-grade dashboards and reports. Advanced experience with cloud platforms such as AWS or Azure, including services related to machine learning, computation, storage, and orchestration. Advanced knowledge of container management systems to deploy and manage machine learning models at scale. Ability to work with big data technologies and databases (SQL), as well as to preprocess and handle large datasets. Advanced communication skills to work effectively with cross-functional teams, including data scientists (quantitative analysts) and business stakeholders. Strong analytical and troubleshooting skills to resolve deployment issues and optimize model performance. Valid Driver's License. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,000-$124,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.